diff --git a/network_8cell.ipynb b/network_8cell.ipynb deleted file mode 100644 index 320ac0c..0000000 --- a/network_8cell.ipynb +++ /dev/null @@ -1,756 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "network_8cell.ipynb", - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "hApKm4-7rWqW" - }, - "source": [ - "# Library Stuff\n" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "0vOdlisMpVOu", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "80ec41a1-06c0-4531-fe74-7c1645a40b0e" - }, - "source": [ - "!pip install pyneuroml\n", - "!pip install libneuroml\n", - "import math\n", - "from neuroml import NeuroMLDocument\n", - "from neuroml import Cell\n", - "from neuroml import IonChannelHH\n", - "from neuroml import GateHHRates\n", - "from neuroml import BiophysicalProperties\n", - "from neuroml import MembraneProperties\n", - "from neuroml import ChannelDensity\n", - "from neuroml import HHRate\n", - "from neuroml import SpikeThresh\n", - "from neuroml import SpecificCapacitance\n", - "from neuroml import InitMembPotential\n", - "from neuroml import IntracellularProperties\n", - "from neuroml import IncludeType\n", - "from neuroml import Resistivity\n", - "from neuroml import Morphology, Segment, Point3DWithDiam\n", - "from neuroml import Network, Population\n", - "from neuroml import PulseGenerator, ExplicitInput\n", - "import numpy as np\n", - "from pyneuroml import pynml\n", - "from pyneuroml.lems import LEMSSimulation" - ], - "execution_count": 1, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n", - "Collecting pyneuroml\n", - " Downloading pyNeuroML-1.0.8-py3-none-any.whl (27.2 MB)\n", - "\u001b[2K 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for collected packages: airspeed\n", - " Building wheel for airspeed (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - " Created wheel for airspeed: filename=airspeed-0.5.20-py3-none-any.whl size=11603 sha256=80d306f6d38ed958dc6680c2c6504d6400e3fe4dc09d6b98cf0e794996c014b9\n", - " Stored in directory: /root/.cache/pip/wheels/cf/3c/35/20c5a8887e9d8c40abf7eb9004fb29c4acc2f983d3cfa19b7a\n", - "Successfully built airspeed\n", - "Installing collected packages: pylems, libNeuroML, docstring-parser, dnspython, cattrs, airspeed, pymongo, modelspec, matplotlib-scalebar, neuromllite, pyneuroml\n", - "Successfully installed airspeed-0.5.20 cattrs-23.1.2 dnspython-2.3.0 docstring-parser-0.15 libNeuroML-0.5.2 matplotlib-scalebar-0.8.1 modelspec-0.3.0 neuromllite-0.5.6 pylems-0.6.2 pymongo-4.3.3 pyneuroml-1.0.8\n", - "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n", - "Requirement already satisfied: libneuroml in /usr/local/lib/python3.10/dist-packages (0.5.2)\n", - "Requirement already satisfied: lxml in /usr/local/lib/python3.10/dist-packages (from libneuroml) (4.9.2)\n", - "Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from libneuroml) (1.16.0)\n", - "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from libneuroml) (3.1)\n", - "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from libneuroml) (1.22.4)\n", - "\n", - "**************************\n", - " Please install vispy to use 3D plotting features!\n", - "**************************\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "63w9jrWEroi0" - }, - "source": [ - "# 8 Cell Network Simulation" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "CeuHf2xqroLE", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 184 - }, - "outputId": "19a43eac-0268-47d7-a98b-b902186f3919" - }, - "source": [ - "# Simulation bits\n", - "sim_id = \"hn8_network\"\n", - "simulation = LEMSSimulation(sim_id=sim_id, duration=20000, dt=0.01, simulation_seed=123)\n", - "\n", - "# Include the NeuroML model file\n", - "simulation.include_neuroml2_file(\"network.8.cell.nml\")\n", - "\n", - "# Assign target for the simulation\n", - "simulation.assign_simulation_target(\"net_8\")\n", - "\n", - "# Recording information from the simulation\n", - "simulation.create_output_file(id=\"display_vL\", file_name=sim_id + \"vL.dat\")\n", - "simulation.add_column_to_output_file(\"display_vL\", column_id=\"v1L\", quantity=\"hn1L_pop[0]/v\")\n", - "simulation.add_column_to_output_file(\"display_vL\", column_id=\"v2L\", quantity=\"hn2L_pop[0]/v\")\n", - "simulation.add_column_to_output_file(\"display_vL\", column_id=\"v3L\", quantity=\"hn3L_pop[0]/v\")\n", - "simulation.add_column_to_output_file(\"display_vL\", column_id=\"v4L\", quantity=\"hn4L_pop[0]/v\")\n", - "\n", - "simulation.create_output_file(id=\"display_vR\", file_name=sim_id + \"vR.dat\")\n", - "simulation.add_column_to_output_file(\"display_vR\", column_id=\"v1R\", quantity=\"hn1R_pop[0]/v\")\n", - "simulation.add_column_to_output_file(\"display_vR\", column_id=\"v2R\", quantity=\"hn2R_pop[0]/v\")\n", - "simulation.add_column_to_output_file(\"display_vR\", column_id=\"v3R\", quantity=\"hn3R_pop[0]/v\")\n", - "simulation.add_column_to_output_file(\"display_vR\", column_id=\"v4R\", quantity=\"hn4R_pop[0]/v\")\n", - "\n", - "# Save LEMS simulation to file\n", - "sim_file = simulation.save_to_file()\n", - "\n", - "# Run the simulation using the default jNeuroML simulator\n", - "pynml.run_lems_with_jneuroml(sim_file, max_memory=\"2G\", nogui=True, plot=False)" - ], - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "INFO:pyneuroml.pynml:Loading NeuroML2 file: /content/network.8.cell.nml\n", - "CRITICAL:pyneuroml.pynml:Unable to find file: /content/network.8.cell.nml!\n" - ] - }, - { - "output_type": "error", - "ename": "SystemExit", - "evalue": "ignored", - "traceback": [ - "An exception has occurred, use %tb to see the full traceback.\n", - "\u001b[0;31mSystemExit\u001b[0m\u001b[0;31m:\u001b[0m 13\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py:3561: UserWarning: To exit: use 'exit', 'quit', or Ctrl-D.\n", - " warn(\"To exit: use 'exit', 'quit', or Ctrl-D.\", stacklevel=1)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "pxN7-9uReFc7" - }, - "source": [ - "### 8 Cell Network Data Plotted\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "lX81dN1xUXht", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 682 - }, - "outputId": "361c7924-6793-4863-bd24-6a4ce19ce947" - }, - "source": [ - "# Left Cell Data\n", - "data_array = np.loadtxt(sim_id + \"vL.dat\")\n", - "pynml.generate_plot([data_array[:, 0], data_array[:, 0], data_array[:, 0], data_array[:, 0]],\n", - " [data_array[:, 1], data_array[:, 2], data_array[:, 3], data_array[:, 4]],\n", - " \"Membrane potential (Left)\", labels = [\"v1L\", \"v2L\", \"v3L\", \"v4L\"],\n", - " show_plot_already=False, save_figure_to=sim_id + \"-vL.png\", xaxis=\"time (s)\",\n", - " yaxis=\"membrane potential (V)\", grid=True)\n", - "\n", - "# Right Cell Data\n", - "data_array = np.loadtxt(sim_id + \"vR.dat\")\n", - "pynml.generate_plot([data_array[:, 0], data_array[:, 0], data_array[:, 0], data_array[:, 0]],\n", - " [data_array[:, 1], data_array[:, 2], data_array[:, 3], data_array[:, 4]],\n", - " \"Membrane potential (Right)\", labels=[\"v1R\", \"v2R\", \"v3R\", \"v4R\"],\n", - " show_plot_already=False, save_figure_to=sim_id + \"-vR.png\", xaxis=\"time (s)\",\n", - " yaxis=\"membrane potential (V)\", grid=True)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "pyNeuroML >>> Generating plot: Membrane potential (Left)\n", - "pyNeuroML >>> Saved image to hn8_network-vL.png of plot: Membrane potential (Left)\n", - "pyNeuroML >>> Generating plot: Membrane potential (Right)\n", - "pyNeuroML >>> Saved image to hn8_network-vR.png of plot: Membrane potential (Right)\n" - ], - "name": "stdout" - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 9 - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "zUtvb93MHoqP" - }, - "source": [ - "#### 8 Cell Network Data Plotted (4 Seconds)" - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 682 - }, - "id": "25EsnOoTmOiW", - "outputId": "bb41a3a6-2913-47d0-dcec-e1ae6f6ad599" - }, - "source": [ - "# Left Cell Data\n", - "data_array = np.loadtxt(sim_id + \"vL.dat\")\n", - "pynml.generate_plot([data_array[:, 0], data_array[:, 0], data_array[:, 0], data_array[:, 0]],\n", - " [data_array[:, 1], data_array[:, 2], data_array[:, 3], data_array[:, 4]],\n", - " \"Membrane potential (Left 4 sec)\", labels = [\"v1L\", \"v2L\", \"v3L\", \"v4L\"],\n", - " show_plot_already=False, save_figure_to=sim_id + \"-vL.png\", xaxis=\"time (s)\",\n", - " yaxis=\"membrane potential (V)\", grid=True, xlim=16)\n", - "\n", - "# Right Cell Data\n", - "data_array = np.loadtxt(sim_id + \"vR.dat\")\n", - "pynml.generate_plot([data_array[:, 0], data_array[:, 0], data_array[:, 0], data_array[:, 0]],\n", - " [data_array[:, 1], data_array[:, 2], data_array[:, 3], data_array[:, 4]],\n", - " \"Membrane potential (Right 4 sec)\", labels = [\"v1R\", \"v2R\", \"v3R\", \"v4R\"],\n", - " show_plot_already=False, save_figure_to=sim_id + \"-vL.png\", xaxis=\"time (s)\",\n", - " yaxis=\"membrane potential (V)\", grid=True, xlim=16, ylim=-.05)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "pyNeuroML >>> Generating plot: Membrane potential (Left 4 sec)\n", - "pyNeuroML >>> Saved image to hn8_network-vL.png of plot: Membrane potential (Left 4 sec)\n", - "pyNeuroML >>> Generating plot: Membrane potential (Right 4 sec)\n", - "pyNeuroML >>> Saved image to hn8_network-vL.png of plot: Membrane potential (Right 4 sec)\n" - ], - "name": "stdout" - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 12 - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "VtAIH-HWsslM" - }, - "source": [ - "# Experiment 1: Isolating Single cell (4L)" - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "5YGDBnXrA9LC", - "outputId": "59b21363-79d4-47da-b24b-4c4649ee89dc" - }, - "source": [ - "# Simulation bits\n", - "sim_id = \"exp_1\"\n", - "simulation = LEMSSimulation(sim_id=sim_id, duration=20000, dt=0.01, simulation_seed=123)\n", - "nml_doc = pynml.read_neuroml2_file(\"network.8.cell.nml\")\n", - "\n", - "# Modifying nml_doc synaptic connections\n", - "#__
_\n",
-        "# _3L_1L_\n",
-        "nml_doc.networks[0].projections[0].connection_wds[0].weight = 0\n",
-        "# _4L_1L_\n",
-        "nml_doc.networks[0].projections[1].connection_wds[0].weight = 0\n",
-        "# _3R_1R_\n",
-        "nml_doc.networks[0].projections[2].connection_wds[0].weight = 0\n",
-        "# _4R_1R_\n",
-        "nml_doc.networks[0].projections[3].connection_wds[0].weight = 0\n",
-        "# _3L_2L_\n",
-        "nml_doc.networks[0].projections[4].connection_wds[0].weight = 0\n",
-        "# _4L_2L_\n",
-        "nml_doc.networks[0].projections[5].connection_wds[0].weight = 0\n",
-        "# _3R_2R_\n",
-        "nml_doc.networks[0].projections[6].connection_wds[0].weight = 0\n",
-        "# _4R_2R_\n",
-        "nml_doc.networks[0].projections[7].connection_wds[0].weight = 0\n",
-        "# _1L_3L_\n",
-        "nml_doc.networks[0].projections[8].connection_wds[0].weight = 0\n",
-        "# _2L_3L_\n",
-        "nml_doc.networks[0].projections[9].connection_wds[0].weight = 0\n",
-        "# _1R_3R_\n",
-        "nml_doc.networks[0].projections[10].connection_wds[0].weight = 0\n",
-        "# _2R_3R_\n",
-        "nml_doc.networks[0].projections[11].connection_wds[0].weight = 0\n",
-        "# _1L_4L_\n",
-        "nml_doc.networks[0].projections[12].connection_wds[0].weight = 0\n",
-        "# _2L_4L_\n",
-        "nml_doc.networks[0].projections[13].connection_wds[0].weight = 0\n",
-        "# _1R_4R_\n",
-        "nml_doc.networks[0].projections[14].connection_wds[0].weight = 0\n",
-        "# _2R_4R_\n",
-        "nml_doc.networks[0].projections[15].connection_wds[0].weight = 0\n",
-        "# _3R_3L_\n",
-        "nml_doc.networks[0].projections[16].connection_wds[0].weight = 0\n",
-        "# _3L_3R_\n",
-        "nml_doc.networks[0].projections[17].connection_wds[0].weight = 0\n",
-        "# _4R_4L_\n",
-        "nml_doc.networks[0].projections[18].connection_wds[0].weight = 0\n",
-        "# _4L_4R_\n",
-        "nml_doc.networks[0].projections[19].connection_wds[0].weight = 0\n",
-        "\n",
-        "pynml.write_neuroml2_file(nml2_doc=nml_doc, nml2_file_name=\"exp_1\", validate=True)\n",
-        "\n",
-        "# Include the NeuroML model file\n",
-        "simulation.include_neuroml2_file(\"exp_1\")\n",
-        "\n",
-        "# Assign target for the simulation\n",
-        "simulation.assign_simulation_target(\"net_8\")\n",
-        "\n",
-        "# Recording information from the simulation\n",
-        "simulation.create_output_file(id=\"display_vL\", file_name=sim_id + \"vL.dat\")\n",
-        "simulation.add_column_to_output_file(\"display_vL\", column_id=\"v4L\", quantity=\"hn4L_pop[0]/v\")\n",
-        "\n",
-        "# Save LEMS simulation to file\n",
-        "sim_file = simulation.save_to_file()\n",
-        "\n",
-        "# Run the simulation using the default jNeuroML simulator\n",
-        "pynml.run_lems_with_jneuroml(sim_file, max_memory=\"2G\", nogui=True, plot=False)"
-      ],
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "pyNeuroML >>> Written LEMS Simulation exp_1 to file: LEMS_exp_1.xml\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "True"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 13
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "SWMFwprbvpPf"
-      },
-      "source": [
-        "### Experiment 1 Data Plotted"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 339
-        },
-        "id": "c7JFhu5QoOP6",
-        "outputId": "7e919cd4-58c5-4aaf-f186-445619936729"
-      },
-      "source": [
-        "data_array = np.loadtxt(sim_id + \"vL.dat\")\n",
-        "pynml.generate_plot([data_array[:, 0]], [data_array[:, 1]], \"Membrane potential (Left)\",\n",
-        "                    labels = [\"v4L\"], show_plot_already=False, save_figure_to=sim_id + \"-vL.png\",\n",
-        "                    xaxis=\"time (s)\", yaxis=\"membrane potential (V)\")"
-      ],
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "pyNeuroML >>> Generating plot: Membrane potential (Left)\n",
-            "pyNeuroML >>> Saved image to exp_1-vL.png of plot: Membrane potential (Left)\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              ""
-            ]
-          },
-          "metadata": {},
-          "execution_count": 14
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "
"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "X2rtWa8Vw16n"
-      },
-      "source": [
-        "# Experiment 2: Two Network (4L to 4R)\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "NQdd9JT-oFVD",
-        "outputId": "ef78a503-131c-4062-fc96-0ea5dcabcaef"
-      },
-      "source": [
-        "# Simulation bits\n",
-        "sim_id = \"exp_2\"\n",
-        "simulation = LEMSSimulation(sim_id=sim_id, duration=20000, dt=0.01, simulation_seed=123)\n",
-        "nml_doc = pynml.read_neuroml2_file(\"network.8.cell.nml\")\n",
-        "\n",
-        "# Modifying nml_doc synaptic connections\n",
-        "#__
_\n",
-        "# _3L_1L_\n",
-        "nml_doc.networks[0].projections[0].connection_wds[0].weight = 0\n",
-        "# _4L_1L_\n",
-        "nml_doc.networks[0].projections[1].connection_wds[0].weight = 0\n",
-        "# _3R_1R_\n",
-        "nml_doc.networks[0].projections[2].connection_wds[0].weight = 0\n",
-        "# _4R_1R_\n",
-        "nml_doc.networks[0].projections[3].connection_wds[0].weight = 0\n",
-        "# _3L_2L_\n",
-        "nml_doc.networks[0].projections[4].connection_wds[0].weight = 0\n",
-        "# _4L_2L_\n",
-        "nml_doc.networks[0].projections[5].connection_wds[0].weight = 0\n",
-        "# _3R_2R_\n",
-        "nml_doc.networks[0].projections[6].connection_wds[0].weight = 0\n",
-        "# _4R_2R_\n",
-        "nml_doc.networks[0].projections[7].connection_wds[0].weight = 0\n",
-        "# _1L_3L_\n",
-        "nml_doc.networks[0].projections[8].connection_wds[0].weight = 0\n",
-        "# _2L_3L_\n",
-        "nml_doc.networks[0].projections[9].connection_wds[0].weight = 0\n",
-        "# _1R_3R_\n",
-        "nml_doc.networks[0].projections[10].connection_wds[0].weight = 0\n",
-        "# _2R_3R_\n",
-        "nml_doc.networks[0].projections[11].connection_wds[0].weight = 0\n",
-        "# _1L_4L_\n",
-        "nml_doc.networks[0].projections[12].connection_wds[0].weight = 0\n",
-        "# _2L_4L_\n",
-        "nml_doc.networks[0].projections[13].connection_wds[0].weight = 0\n",
-        "# _1R_4R_\n",
-        "nml_doc.networks[0].projections[14].connection_wds[0].weight = 0\n",
-        "# _2R_4R_\n",
-        "nml_doc.networks[0].projections[15].connection_wds[0].weight = 0\n",
-        "# _3R_3L_\n",
-        "nml_doc.networks[0].projections[16].connection_wds[0].weight = 0\n",
-        "# _3L_3R_\n",
-        "nml_doc.networks[0].projections[17].connection_wds[0].weight = 0\n",
-        "# _4R_4L_\n",
-        "nml_doc.networks[0].projections[18].connection_wds[0].weight = 1\n",
-        "# _4L_4R_\n",
-        "nml_doc.networks[0].projections[19].connection_wds[0].weight = 1\n",
-        "\n",
-        "pynml.write_neuroml2_file(nml2_doc=nml_doc, nml2_file_name=sim_id, validate=True)\n",
-        "\n",
-        "# Include the NeuroML model file\n",
-        "simulation.include_neuroml2_file(sim_id)\n",
-        "\n",
-        "# Assign target for the simulation\n",
-        "simulation.assign_simulation_target(\"net_8\")\n",
-        "\n",
-        "# Recording information from the simulation\n",
-        "simulation.create_output_file(id=\"display_vL\", file_name=sim_id + \"vL.dat\")\n",
-        "simulation.add_column_to_output_file(\"display_vL\", column_id=\"v4L\", quantity=\"hn4L_pop[0]/v\")\n",
-        "\n",
-        "simulation.create_output_file(id=\"display_vR\", file_name=sim_id + \"vR.dat\")\n",
-        "simulation.add_column_to_output_file(\"display_vR\", column_id=\"v4R\", quantity=\"hn4R_pop[0]/v\")\n",
-        "\n",
-        "# Save LEMS simulation to file\n",
-        "sim_file = simulation.save_to_file()\n",
-        "\n",
-        "# Run the simulation using the default jNeuroML simulator\n",
-        "pynml.run_lems_with_jneuroml(sim_file, max_memory=\"2G\", nogui=True, plot=False)"
-      ],
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "pyNeuroML >>> Written LEMS Simulation exp_2 to file: LEMS_exp_2.xml\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "True"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 15
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "lUiYI51GzTvx"
-      },
-      "source": [
-        "### Experiment 2 Data Plotted"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 641
-        },
-        "id": "6BHT8INYGQ55",
-        "outputId": "5e6aefc8-4071-449a-8524-d63386fb6276"
-      },
-      "source": [
-        "# Left Cell\n",
-        "data_array = np.loadtxt(sim_id + \"vL.dat\")\n",
-        "pynml.generate_plot([data_array[:, 0]], [data_array[:, 1]], \"Membrane potential (Left)\",\n",
-        "                    labels = [\"v4L\"], show_plot_already=False, save_figure_to=sim_id + \"-vL.png\",\n",
-        "                    xaxis=\"time (s)\", yaxis=\"membrane potential (V)\")\n",
-        "\n",
-        "# Right Cell\n",
-        "data_array = np.loadtxt(sim_id + \"vR.dat\")\n",
-        "pynml.generate_plot([data_array[:, 0]], [data_array[:, 1]], \"Membrane potential (Right)\",\n",
-        "                    show_plot_already=False, save_figure_to=sim_id + \"-vR.png\",\n",
-        "                    xaxis=\"time (s)\", yaxis=\"membrane potential (V)\")"
-      ],
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "pyNeuroML >>> Generating plot: Membrane potential (Left)\n",
-            "pyNeuroML >>> Saved image to exp_2-vL.png of plot: Membrane potential (Left)\n",
-            "pyNeuroML >>> Generating plot: Membrane potential (Right)\n",
-            "pyNeuroML >>> Saved image to exp_2-vR.png of plot: Membrane potential (Right)\n"
-          ],
-          "name": "stdout"
-        },
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              ""
-            ]
-          },
-          "metadata": {},
-          "execution_count": 16
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
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\n",
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-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
-      ]
-    }
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-}
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diff --git a/src/Analysim.Web/1IwOPdVe2gSOOGNyJ_DkCJ_NYXTrgV1vW.ipynb b/src/Analysim.Web/1IwOPdVe2gSOOGNyJ_DkCJ_NYXTrgV1vW.ipynb
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--- a/src/Analysim.Web/1IwOPdVe2gSOOGNyJ_DkCJ_NYXTrgV1vW.ipynb
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diff --git a/src/Analysim.Web/1TCg8BqvJi55XKpqkyNuXVjza9thRta_s.ipynb b/src/Analysim.Web/1TCg8BqvJi55XKpqkyNuXVjza9thRta_s.ipynb
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-{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyOM+4adyo2P1cSR2cikG9BZ"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"_TwxLYFcLZxK"},"outputs":[],"source":["import numpy as np\n","import pandas as pd\n","from matplotlib import pyplot"]},{"cell_type":"markdown","source":["# Demo reading data from AnalySim\n","\n","See more on [AnalySim](https://analysim-dev.herokuapp.com/home)"],"metadata":{"id":"EgfjjO0eVEBt"}},{"cell_type":"code","source":["analysim_csv = pd.read_csv(\"https://neruosimhubstorage.blob.core.windows.net/project2/Folder1/AnalySim.csv\")\n","analysim_csv"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":488},"id":"mnCW0x2eL7nK","executionInfo":{"status":"ok","timestamp":1661367139540,"user_tz":240,"elapsed":394,"user":{"displayName":"Cengiz Gunay","userId":"04998639454012606716"}},"outputId":"1160d6e4-5420-49d0-aee8-717ee6664799"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      simNo:int  simPar_EleakVal:decimal  simParPer_gBarP:int  \\\n","0         50192                   -0.065                  150   \n","1         87730                   -0.050                   25   \n","2         90232                   -0.065                  150   \n","3         91197                   -0.065                  175   \n","4         95214                   -0.055                   50   \n","...         ...                      ...                  ...   \n","2112   10375932                   -0.065                   50   \n","2113   10375933                   -0.060                   50   \n","2114   10375934                   -0.055                   50   \n","2115   10375935                   -0.050                   50   \n","2116   10377914                   -0.055                  150   \n","\n","      simParPer_gBarK2:int  simParPer_gBarLeak:int  simParPer_gBarSynS:int  \\\n","0                      150                     100                      75   \n","1                       25                      50                      50   \n","2                      175                      25                      75   \n","3                      175                     100                      75   \n","4                      100                      25                     125   \n","...                    ...                     ...                     ...   \n","2112                   150                       0                     125   \n","2113                   150                       0                     125   \n","2114                   150                       0                     125   \n","2115                   150                       0                     125   \n","2116                   175                     150                     125   \n","\n","      simParPer_gBarCaS:int  simParPer_gBarSynG:int  simParPer_gBarh:int  \\\n","0                        50                       0                    0   \n","1                       100                       0                    0   \n","2                       100                       0                    0   \n","3                       100                       0                    0   \n","4                       100                       0                    0   \n","...                     ...                     ...                  ...   \n","2112                     50                     175                  175   \n","2113                     50                     175                  175   \n","2114                     50                     175                  175   \n","2115                     50                     175                  175   \n","2116                     50                     175                  175   \n","\n","      meanPeriod_L:decimal  meanPeriod_R:decimal  spkFreq_L:decimal  \\\n","0                 33.70025              31.67960          21.606482   \n","1                 27.61325              29.41340          15.186357   \n","2                 25.40020              27.14850          34.295060   \n","3                 22.71305              29.63450          29.219205   \n","4                 26.52820              25.22525          15.238314   \n","...                    ...                   ...                ...   \n","2112              35.79420              34.69140           8.177820   \n","2113              35.79420              34.69140           8.177820   \n","2114              35.79420              34.69140           8.177820   \n","2115              35.79420              34.69140           8.177820   \n","2116               8.80590               9.73115          15.001162   \n","\n","      spkFreq_R:decimal  meanDutyCycle_L:decimal  meanDutyCycle_R:decimal  \\\n","0             21.372140                 0.453890                 0.454018   \n","1             14.953344                 0.507416                 0.577815   \n","2             33.433688                 0.579925                 0.477717   \n","3             28.712766                 0.643036                 0.488714   \n","4             15.580058                 0.469240                 0.494148   \n","...                 ...                      ...                      ...   \n","2112           8.586204                 0.579018                 1.004514   \n","2113           8.586204                 0.579018                 1.004514   \n","2114           8.586204                 0.579018                 1.004514   \n","2115           8.586204                 0.579018                 1.004514   \n","2116          14.077604                 1.451845                 0.231627   \n","\n","      meanPhase_L:decimal  meanPhase_R:decimal  \n","0                0.596505             0.439261  \n","1                0.407272             0.566178  \n","2                0.426874             0.543744  \n","3                0.276141             0.639709  \n","4                0.552526             0.474612  \n","...                   ...                  ...  \n","2112             0.622075             0.397091  \n","2113             0.622075             0.397091  \n","2114             0.622075             0.397091  \n","2115             0.622075             0.397091  \n","2116            -2.596271             3.869065  \n","\n","[2117 rows x 17 columns]"],"text/html":["\n","  
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simNo:intsimPar_EleakVal:decimalsimParPer_gBarP:intsimParPer_gBarK2:intsimParPer_gBarLeak:intsimParPer_gBarSynS:intsimParPer_gBarCaS:intsimParPer_gBarSynG:intsimParPer_gBarh:intmeanPeriod_L:decimalmeanPeriod_R:decimalspkFreq_L:decimalspkFreq_R:decimalmeanDutyCycle_L:decimalmeanDutyCycle_R:decimalmeanPhase_L:decimalmeanPhase_R:decimal
050192-0.06515015010075500033.7002531.6796021.60648221.3721400.4538900.4540180.5965050.439261
187730-0.050252550501000027.6132529.4134015.18635714.9533440.5074160.5778150.4072720.566178
290232-0.06515017525751000025.4002027.1485034.29506033.4336880.5799250.4777170.4268740.543744
391197-0.065175175100751000022.7130529.6345029.21920528.7127660.6430360.4887140.2761410.639709
495214-0.05550100251251000026.5282025.2252515.23831415.5800580.4692400.4941480.5525260.474612
......................................................
211210375932-0.0655015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211310375933-0.0605015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211410375934-0.0555015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211510375935-0.0505015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211610377914-0.055150175150125501751758.805909.7311515.00116214.0776041.4518450.231627-2.5962713.869065
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2117 rows × 17 columns
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\n","  "]},"metadata":{},"execution_count":4}]},{"cell_type":"code","source":["analysim_csv.plot(\"meanPeriod_L:decimal\", \"meanDutyCycle_L:decimal\", kind = \"scatter\" )"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"h-FsHT5ZMceW","executionInfo":{"status":"ok","timestamp":1661367331505,"user_tz":240,"elapsed":332,"user":{"displayName":"Cengiz Gunay","userId":"04998639454012606716"}},"outputId":"d66d4da5-95a4-42c2-a150-d9ed3e935842"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":[""]},"metadata":{},"execution_count":7},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":[],"metadata":{"id":"lPn8so7vNQS6"},"execution_count":null,"outputs":[]}]}
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diff --git a/src/Analysim.Web/Tesew-wdeednjki sn.ipynb b/src/Analysim.Web/Tesew-wdeednjki sn.ipynb
deleted file mode 100644
index 33087da..0000000
--- a/src/Analysim.Web/Tesew-wdeednjki sn.ipynb	
+++ /dev/null
@@ -1,158 +0,0 @@
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diff --git a/src/Analysim.Web/Tesew-wdeednjki snjh.ipynb b/src/Analysim.Web/Tesew-wdeednjki snjh.ipynb
deleted file mode 100644
index 27115f5..0000000
--- a/src/Analysim.Web/Tesew-wdeednjki snjh.ipynb	
+++ /dev/null
@@ -1,158 +0,0 @@
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diff --git a/src/Analysim.Web/Tesew-wdeednjkisnjh.ipynb b/src/Analysim.Web/Tesew-wdeednjkisnjh.ipynb
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index 9f1e991..0000000
--- a/src/Analysim.Web/Tesew-wdeednjkisnjh.ipynb
+++ /dev/null
@@ -1,158 +0,0 @@
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diff --git a/src/Analysim.Web/Test Notebook Test.ipynb b/src/Analysim.Web/Test Notebook Test.ipynb
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-{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyOM+4adyo2P1cSR2cikG9BZ"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"_TwxLYFcLZxK"},"outputs":[],"source":["import numpy as np\n","import pandas as pd\n","from matplotlib import pyplot"]},{"cell_type":"markdown","source":["# Demo reading data from AnalySim\n","\n","See more on [AnalySim](https://analysim-dev.herokuapp.com/home)"],"metadata":{"id":"EgfjjO0eVEBt"}},{"cell_type":"code","source":["analysim_csv = pd.read_csv(\"https://neruosimhubstorage.blob.core.windows.net/project2/Folder1/AnalySim.csv\")\n","analysim_csv"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":488},"id":"mnCW0x2eL7nK","executionInfo":{"status":"ok","timestamp":1661367139540,"user_tz":240,"elapsed":394,"user":{"displayName":"Cengiz Gunay","userId":"04998639454012606716"}},"outputId":"1160d6e4-5420-49d0-aee8-717ee6664799"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      simNo:int  simPar_EleakVal:decimal  simParPer_gBarP:int  \\\n","0         50192                   -0.065                  150   \n","1         87730                   -0.050                   25   \n","2         90232                   -0.065                  150   \n","3         91197                   -0.065                  175   \n","4         95214                   -0.055                   50   \n","...         ...                      ...                  ...   \n","2112   10375932                   -0.065                   50   \n","2113   10375933                   -0.060                   50   \n","2114   10375934                   -0.055                   50   \n","2115   10375935                   -0.050                   50   \n","2116   10377914                   -0.055                  150   \n","\n","      simParPer_gBarK2:int  simParPer_gBarLeak:int  simParPer_gBarSynS:int  \\\n","0                      150                     100                      75   \n","1                       25                      50                      50   \n","2                      175                      25                      75   \n","3                      175                     100                      75   \n","4                      100                      25                     125   \n","...                    ...                     ...                     ...   \n","2112                   150                       0                     125   \n","2113                   150                       0                     125   \n","2114                   150                       0                     125   \n","2115                   150                       0                     125   \n","2116                   175                     150                     125   \n","\n","      simParPer_gBarCaS:int  simParPer_gBarSynG:int  simParPer_gBarh:int  \\\n","0                        50                       0                    0   \n","1                       100                       0                    0   \n","2                       100                       0                    0   \n","3                       100                       0                    0   \n","4                       100                       0                    0   \n","...                     ...                     ...                  ...   \n","2112                     50                     175                  175   \n","2113                     50                     175                  175   \n","2114                     50                     175                  175   \n","2115                     50                     175                  175   \n","2116                     50                     175                  175   \n","\n","      meanPeriod_L:decimal  meanPeriod_R:decimal  spkFreq_L:decimal  \\\n","0                 33.70025              31.67960          21.606482   \n","1                 27.61325              29.41340          15.186357   \n","2                 25.40020              27.14850          34.295060   \n","3                 22.71305              29.63450          29.219205   \n","4                 26.52820              25.22525          15.238314   \n","...                    ...                   ...                ...   \n","2112              35.79420              34.69140           8.177820   \n","2113              35.79420              34.69140           8.177820   \n","2114              35.79420              34.69140           8.177820   \n","2115              35.79420              34.69140           8.177820   \n","2116               8.80590               9.73115          15.001162   \n","\n","      spkFreq_R:decimal  meanDutyCycle_L:decimal  meanDutyCycle_R:decimal  \\\n","0             21.372140                 0.453890                 0.454018   \n","1             14.953344                 0.507416                 0.577815   \n","2             33.433688                 0.579925                 0.477717   \n","3             28.712766                 0.643036                 0.488714   \n","4             15.580058                 0.469240                 0.494148   \n","...                 ...                      ...                      ...   \n","2112           8.586204                 0.579018                 1.004514   \n","2113           8.586204                 0.579018                 1.004514   \n","2114           8.586204                 0.579018                 1.004514   \n","2115           8.586204                 0.579018                 1.004514   \n","2116          14.077604                 1.451845                 0.231627   \n","\n","      meanPhase_L:decimal  meanPhase_R:decimal  \n","0                0.596505             0.439261  \n","1                0.407272             0.566178  \n","2                0.426874             0.543744  \n","3                0.276141             0.639709  \n","4                0.552526             0.474612  \n","...                   ...                  ...  \n","2112             0.622075             0.397091  \n","2113             0.622075             0.397091  \n","2114             0.622075             0.397091  \n","2115             0.622075             0.397091  \n","2116            -2.596271             3.869065  \n","\n","[2117 rows x 17 columns]"],"text/html":["\n","  
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simNo:intsimPar_EleakVal:decimalsimParPer_gBarP:intsimParPer_gBarK2:intsimParPer_gBarLeak:intsimParPer_gBarSynS:intsimParPer_gBarCaS:intsimParPer_gBarSynG:intsimParPer_gBarh:intmeanPeriod_L:decimalmeanPeriod_R:decimalspkFreq_L:decimalspkFreq_R:decimalmeanDutyCycle_L:decimalmeanDutyCycle_R:decimalmeanPhase_L:decimalmeanPhase_R:decimal
050192-0.06515015010075500033.7002531.6796021.60648221.3721400.4538900.4540180.5965050.439261
187730-0.050252550501000027.6132529.4134015.18635714.9533440.5074160.5778150.4072720.566178
290232-0.06515017525751000025.4002027.1485034.29506033.4336880.5799250.4777170.4268740.543744
391197-0.065175175100751000022.7130529.6345029.21920528.7127660.6430360.4887140.2761410.639709
495214-0.05550100251251000026.5282025.2252515.23831415.5800580.4692400.4941480.5525260.474612
......................................................
211210375932-0.0655015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211310375933-0.0605015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211410375934-0.0555015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211510375935-0.0505015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211610377914-0.055150175150125501751758.805909.7311515.00116214.0776041.4518450.231627-2.5962713.869065
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2117 rows × 17 columns
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\n","  "]},"metadata":{},"execution_count":4}]},{"cell_type":"code","source":["analysim_csv.plot(\"meanPeriod_L:decimal\", \"meanDutyCycle_L:decimal\", kind = \"scatter\" )"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"h-FsHT5ZMceW","executionInfo":{"status":"ok","timestamp":1661367331505,"user_tz":240,"elapsed":332,"user":{"displayName":"Cengiz Gunay","userId":"04998639454012606716"}},"outputId":"d66d4da5-95a4-42c2-a150-d9ed3e935842"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":[""]},"metadata":{},"execution_count":7},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":[],"metadata":{"id":"lPn8so7vNQS6"},"execution_count":null,"outputs":[]}]}
\ No newline at end of file
diff --git a/src/Analysim.Web/Test Notebook.ipynb b/src/Analysim.Web/Test Notebook.ipynb
deleted file mode 100644
index df4b4f0..0000000
--- a/src/Analysim.Web/Test Notebook.ipynb	
+++ /dev/null
@@ -1 +0,0 @@
-{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyOM+4adyo2P1cSR2cikG9BZ"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"_TwxLYFcLZxK"},"outputs":[],"source":["import numpy as np\n","import pandas as pd\n","from matplotlib import pyplot"]},{"cell_type":"markdown","source":["# Demo reading data from AnalySim\n","\n","See more on [AnalySim](https://analysim-dev.herokuapp.com/home)"],"metadata":{"id":"EgfjjO0eVEBt"}},{"cell_type":"code","source":["analysim_csv = pd.read_csv(\"https://neruosimhubstorage.blob.core.windows.net/project2/Folder1/AnalySim.csv\")\n","analysim_csv"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":488},"id":"mnCW0x2eL7nK","executionInfo":{"status":"ok","timestamp":1661367139540,"user_tz":240,"elapsed":394,"user":{"displayName":"Cengiz Gunay","userId":"04998639454012606716"}},"outputId":"1160d6e4-5420-49d0-aee8-717ee6664799"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      simNo:int  simPar_EleakVal:decimal  simParPer_gBarP:int  \\\n","0         50192                   -0.065                  150   \n","1         87730                   -0.050                   25   \n","2         90232                   -0.065                  150   \n","3         91197                   -0.065                  175   \n","4         95214                   -0.055                   50   \n","...         ...                      ...                  ...   \n","2112   10375932                   -0.065                   50   \n","2113   10375933                   -0.060                   50   \n","2114   10375934                   -0.055                   50   \n","2115   10375935                   -0.050                   50   \n","2116   10377914                   -0.055                  150   \n","\n","      simParPer_gBarK2:int  simParPer_gBarLeak:int  simParPer_gBarSynS:int  \\\n","0                      150                     100                      75   \n","1                       25                      50                      50   \n","2                      175                      25                      75   \n","3                      175                     100                      75   \n","4                      100                      25                     125   \n","...                    ...                     ...                     ...   \n","2112                   150                       0                     125   \n","2113                   150                       0                     125   \n","2114                   150                       0                     125   \n","2115                   150                       0                     125   \n","2116                   175                     150                     125   \n","\n","      simParPer_gBarCaS:int  simParPer_gBarSynG:int  simParPer_gBarh:int  \\\n","0                        50                       0                    0   \n","1                       100                       0                    0   \n","2                       100                       0                    0   \n","3                       100                       0                    0   \n","4                       100                       0                    0   \n","...                     ...                     ...                  ...   \n","2112                     50                     175                  175   \n","2113                     50                     175                  175   \n","2114                     50                     175                  175   \n","2115                     50                     175                  175   \n","2116                     50                     175                  175   \n","\n","      meanPeriod_L:decimal  meanPeriod_R:decimal  spkFreq_L:decimal  \\\n","0                 33.70025              31.67960          21.606482   \n","1                 27.61325              29.41340          15.186357   \n","2                 25.40020              27.14850          34.295060   \n","3                 22.71305              29.63450          29.219205   \n","4                 26.52820              25.22525          15.238314   \n","...                    ...                   ...                ...   \n","2112              35.79420              34.69140           8.177820   \n","2113              35.79420              34.69140           8.177820   \n","2114              35.79420              34.69140           8.177820   \n","2115              35.79420              34.69140           8.177820   \n","2116               8.80590               9.73115          15.001162   \n","\n","      spkFreq_R:decimal  meanDutyCycle_L:decimal  meanDutyCycle_R:decimal  \\\n","0             21.372140                 0.453890                 0.454018   \n","1             14.953344                 0.507416                 0.577815   \n","2             33.433688                 0.579925                 0.477717   \n","3             28.712766                 0.643036                 0.488714   \n","4             15.580058                 0.469240                 0.494148   \n","...                 ...                      ...                      ...   \n","2112           8.586204                 0.579018                 1.004514   \n","2113           8.586204                 0.579018                 1.004514   \n","2114           8.586204                 0.579018                 1.004514   \n","2115           8.586204                 0.579018                 1.004514   \n","2116          14.077604                 1.451845                 0.231627   \n","\n","      meanPhase_L:decimal  meanPhase_R:decimal  \n","0                0.596505             0.439261  \n","1                0.407272             0.566178  \n","2                0.426874             0.543744  \n","3                0.276141             0.639709  \n","4                0.552526             0.474612  \n","...                   ...                  ...  \n","2112             0.622075             0.397091  \n","2113             0.622075             0.397091  \n","2114             0.622075             0.397091  \n","2115             0.622075             0.397091  \n","2116            -2.596271             3.869065  \n","\n","[2117 rows x 17 columns]"],"text/html":["\n","  
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simNo:intsimPar_EleakVal:decimalsimParPer_gBarP:intsimParPer_gBarK2:intsimParPer_gBarLeak:intsimParPer_gBarSynS:intsimParPer_gBarCaS:intsimParPer_gBarSynG:intsimParPer_gBarh:intmeanPeriod_L:decimalmeanPeriod_R:decimalspkFreq_L:decimalspkFreq_R:decimalmeanDutyCycle_L:decimalmeanDutyCycle_R:decimalmeanPhase_L:decimalmeanPhase_R:decimal
050192-0.06515015010075500033.7002531.6796021.60648221.3721400.4538900.4540180.5965050.439261
187730-0.050252550501000027.6132529.4134015.18635714.9533440.5074160.5778150.4072720.566178
290232-0.06515017525751000025.4002027.1485034.29506033.4336880.5799250.4777170.4268740.543744
391197-0.065175175100751000022.7130529.6345029.21920528.7127660.6430360.4887140.2761410.639709
495214-0.05550100251251000026.5282025.2252515.23831415.5800580.4692400.4941480.5525260.474612
......................................................
211210375932-0.0655015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211310375933-0.0605015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211410375934-0.0555015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211510375935-0.0505015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211610377914-0.055150175150125501751758.805909.7311515.00116214.0776041.4518450.231627-2.5962713.869065
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2117 rows × 17 columns
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\n","  "]},"metadata":{},"execution_count":4}]},{"cell_type":"code","source":["analysim_csv.plot(\"meanPeriod_L:decimal\", \"meanDutyCycle_L:decimal\", kind = \"scatter\" )"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"h-FsHT5ZMceW","executionInfo":{"status":"ok","timestamp":1661367331505,"user_tz":240,"elapsed":332,"user":{"displayName":"Cengiz Gunay","userId":"04998639454012606716"}},"outputId":"d66d4da5-95a4-42c2-a150-d9ed3e935842"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":[""]},"metadata":{},"execution_count":7},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":[],"metadata":{"id":"lPn8so7vNQS6"},"execution_count":null,"outputs":[]}]}
\ No newline at end of file
diff --git a/src/Analysim.Web/hsihsia.ipynb b/src/Analysim.Web/hsihsia.ipynb
deleted file mode 100644
index 501412e..0000000
--- a/src/Analysim.Web/hsihsia.ipynb
+++ /dev/null
@@ -1,158 +0,0 @@
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\ No newline at end of file
diff --git a/src/Analysim.Web/nbkki kk.ipynb b/src/Analysim.Web/nbkki kk.ipynb
deleted file mode 100644
index 7143040..0000000
--- a/src/Analysim.Web/nbkki kk.ipynb	
+++ /dev/null
@@ -1 +0,0 @@
-{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyPMtSWgm+r0JgniNYQzPVLq"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":2,"metadata":{"id":"FLl9AVwWeTuG","executionInfo":{"status":"ok","timestamp":1689108113696,"user_tz":420,"elapsed":152,"user":{"displayName":"kshitiz sareen","userId":"04871066886266278839"}},"outputId":"5577cc0f-74fd-4829-a920-eebdee694f96","colab":{"base_uri":"https://localhost:8080/"}},"outputs":[{"output_type":"stream","name":"stdout","text":["Test\n"]}],"source":["print(\"Test\")"]}]}
\ No newline at end of file
diff --git a/src/Analysim.Web/nbkki kkhi.ipynb b/src/Analysim.Web/nbkki kkhi.ipynb
deleted file mode 100644
index 24267ae..0000000
--- a/src/Analysim.Web/nbkki kkhi.ipynb	
+++ /dev/null
@@ -1 +0,0 @@
-{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyN8bGxGoUE8uIZ+EYuAhFYI"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"4t0YuZ2vfbuF"},"outputs":[],"source":[]}]}
\ No newline at end of file
diff --git a/src/Analysim.Web/nbkki kkhihik nhk nk.ipynb b/src/Analysim.Web/nbkki kkhihik nhk nk.ipynb
deleted file mode 100644
index 4bb36a7..0000000
--- a/src/Analysim.Web/nbkki kkhihik nhk nk.ipynb	
+++ /dev/null
@@ -1 +0,0 @@
-{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyMLUz2npcBSaz0Ba4q8c3N8"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"I5U9-2nkuVxW","executionInfo":{"status":"ok","timestamp":1689108718071,"user_tz":420,"elapsed":6,"user":{"displayName":"kshitiz sareen","userId":"04871066886266278839"}},"outputId":"8110c9fb-0ac3-4ec0-ab22-9581e408017a","colab":{"base_uri":"https://localhost:8080/"}},"outputs":[{"output_type":"stream","name":"stdout","text":["Test New\n"]}],"source":["print(\"Test New\")"]},{"cell_type":"code","source":["print(\"Test 2 new\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Pwg8751KumYw","executionInfo":{"status":"ok","timestamp":1689108774896,"user_tz":420,"elapsed":250,"user":{"displayName":"kshitiz sareen","userId":"04871066886266278839"}},"outputId":"69b371d4-8d4c-43c8-9871-49290d056cc8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Test 2 new\n"]}]}]}
\ No newline at end of file
diff --git a/src/Analysim.Web/nbkki kkhihik nhk.ipynb b/src/Analysim.Web/nbkki kkhihik nhk.ipynb
deleted file mode 100644
index 4bb36a7..0000000
--- a/src/Analysim.Web/nbkki kkhihik nhk.ipynb	
+++ /dev/null
@@ -1 +0,0 @@
-{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyMLUz2npcBSaz0Ba4q8c3N8"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"I5U9-2nkuVxW","executionInfo":{"status":"ok","timestamp":1689108718071,"user_tz":420,"elapsed":6,"user":{"displayName":"kshitiz sareen","userId":"04871066886266278839"}},"outputId":"8110c9fb-0ac3-4ec0-ab22-9581e408017a","colab":{"base_uri":"https://localhost:8080/"}},"outputs":[{"output_type":"stream","name":"stdout","text":["Test New\n"]}],"source":["print(\"Test New\")"]},{"cell_type":"code","source":["print(\"Test 2 new\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Pwg8751KumYw","executionInfo":{"status":"ok","timestamp":1689108774896,"user_tz":420,"elapsed":250,"user":{"displayName":"kshitiz sareen","userId":"04871066886266278839"}},"outputId":"69b371d4-8d4c-43c8-9871-49290d056cc8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Test 2 new\n"]}]}]}
\ No newline at end of file
diff --git a/src/Analysim.Web/nbkki kkhihik.ipynb b/src/Analysim.Web/nbkki kkhihik.ipynb
deleted file mode 100644
index 24267ae..0000000
--- a/src/Analysim.Web/nbkki kkhihik.ipynb	
+++ /dev/null
@@ -1 +0,0 @@
-{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyN8bGxGoUE8uIZ+EYuAhFYI"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"4t0YuZ2vfbuF"},"outputs":[],"source":[]}]}
\ No newline at end of file
diff --git a/src/Analysim.Web/nd bkb nbkb.ipynb b/src/Analysim.Web/nd bkb nbkb.ipynb
deleted file mode 100644
index 24267ae..0000000
--- a/src/Analysim.Web/nd bkb nbkb.ipynb	
+++ /dev/null
@@ -1 +0,0 @@
-{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyN8bGxGoUE8uIZ+EYuAhFYI"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"4t0YuZ2vfbuF"},"outputs":[],"source":[]}]}
\ No newline at end of file
diff --git a/src/Analysim.Web/nd bkb.ipynb b/src/Analysim.Web/nd bkb.ipynb
deleted file mode 100644
index 24267ae..0000000
--- a/src/Analysim.Web/nd bkb.ipynb	
+++ /dev/null
@@ -1 +0,0 @@
-{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyN8bGxGoUE8uIZ+EYuAhFYI"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"4t0YuZ2vfbuF"},"outputs":[],"source":[]}]}
\ No newline at end of file
diff --git a/src/Analysim.Web/nd.ipynb b/src/Analysim.Web/nd.ipynb
deleted file mode 100644
index 24267ae..0000000
--- a/src/Analysim.Web/nd.ipynb
+++ /dev/null
@@ -1 +0,0 @@
-{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyN8bGxGoUE8uIZ+EYuAhFYI"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"4t0YuZ2vfbuF"},"outputs":[],"source":[]}]}
\ No newline at end of file
diff --git a/src/Analysim.Web/test desw.ipynb b/src/Analysim.Web/test desw.ipynb
deleted file mode 100644
index df4b4f0..0000000
--- a/src/Analysim.Web/test desw.ipynb	
+++ /dev/null
@@ -1 +0,0 @@
-{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyOM+4adyo2P1cSR2cikG9BZ"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"_TwxLYFcLZxK"},"outputs":[],"source":["import numpy as np\n","import pandas as pd\n","from matplotlib import pyplot"]},{"cell_type":"markdown","source":["# Demo reading data from AnalySim\n","\n","See more on [AnalySim](https://analysim-dev.herokuapp.com/home)"],"metadata":{"id":"EgfjjO0eVEBt"}},{"cell_type":"code","source":["analysim_csv = pd.read_csv(\"https://neruosimhubstorage.blob.core.windows.net/project2/Folder1/AnalySim.csv\")\n","analysim_csv"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":488},"id":"mnCW0x2eL7nK","executionInfo":{"status":"ok","timestamp":1661367139540,"user_tz":240,"elapsed":394,"user":{"displayName":"Cengiz Gunay","userId":"04998639454012606716"}},"outputId":"1160d6e4-5420-49d0-aee8-717ee6664799"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      simNo:int  simPar_EleakVal:decimal  simParPer_gBarP:int  \\\n","0         50192                   -0.065                  150   \n","1         87730                   -0.050                   25   \n","2         90232                   -0.065                  150   \n","3         91197                   -0.065                  175   \n","4         95214                   -0.055                   50   \n","...         ...                      ...                  ...   \n","2112   10375932                   -0.065                   50   \n","2113   10375933                   -0.060                   50   \n","2114   10375934                   -0.055                   50   \n","2115   10375935                   -0.050                   50   \n","2116   10377914                   -0.055                  150   \n","\n","      simParPer_gBarK2:int  simParPer_gBarLeak:int  simParPer_gBarSynS:int  \\\n","0                      150                     100                      75   \n","1                       25                      50                      50   \n","2                      175                      25                      75   \n","3                      175                     100                      75   \n","4                      100                      25                     125   \n","...                    ...                     ...                     ...   \n","2112                   150                       0                     125   \n","2113                   150                       0                     125   \n","2114                   150                       0                     125   \n","2115                   150                       0                     125   \n","2116                   175                     150                     125   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meanPeriod_L:decimal  meanPeriod_R:decimal  spkFreq_L:decimal  \\\n","0                 33.70025              31.67960          21.606482   \n","1                 27.61325              29.41340          15.186357   \n","2                 25.40020              27.14850          34.295060   \n","3                 22.71305              29.63450          29.219205   \n","4                 26.52820              25.22525          15.238314   \n","...                    ...                   ...                ...   \n","2112              35.79420              34.69140           8.177820   \n","2113              35.79420              34.69140           8.177820   \n","2114              35.79420              34.69140           8.177820   \n","2115              35.79420              34.69140           8.177820   \n","2116               8.80590               9.73115          15.001162   \n","\n","      spkFreq_R:decimal  meanDutyCycle_L:decimal  meanDutyCycle_R:decimal  \\\n","0             21.372140                 0.453890                 0.454018   \n","1             14.953344                 0.507416                 0.577815   \n","2             33.433688                 0.579925                 0.477717   \n","3             28.712766                 0.643036                 0.488714   \n","4             15.580058                 0.469240                 0.494148   \n","...                 ...                      ...                      ...   \n","2112           8.586204                 0.579018                 1.004514   \n","2113           8.586204                 0.579018                 1.004514   \n","2114           8.586204                 0.579018                 1.004514   \n","2115           8.586204                 0.579018                 1.004514   \n","2116          14.077604                 1.451845                 0.231627   \n","\n","      meanPhase_L:decimal  meanPhase_R:decimal  \n","0                0.596505             0.439261  \n","1            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simNo:intsimPar_EleakVal:decimalsimParPer_gBarP:intsimParPer_gBarK2:intsimParPer_gBarLeak:intsimParPer_gBarSynS:intsimParPer_gBarCaS:intsimParPer_gBarSynG:intsimParPer_gBarh:intmeanPeriod_L:decimalmeanPeriod_R:decimalspkFreq_L:decimalspkFreq_R:decimalmeanDutyCycle_L:decimalmeanDutyCycle_R:decimalmeanPhase_L:decimalmeanPhase_R:decimal
050192-0.06515015010075500033.7002531.6796021.60648221.3721400.4538900.4540180.5965050.439261
187730-0.050252550501000027.6132529.4134015.18635714.9533440.5074160.5778150.4072720.566178
290232-0.06515017525751000025.4002027.1485034.29506033.4336880.5799250.4777170.4268740.543744
391197-0.065175175100751000022.7130529.6345029.21920528.7127660.6430360.4887140.2761410.639709
495214-0.05550100251251000026.5282025.2252515.23831415.5800580.4692400.4941480.5525260.474612
......................................................
211210375932-0.0655015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211310375933-0.0605015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211410375934-0.0555015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211510375935-0.0505015001255017517535.7942034.691408.1778208.5862040.5790181.0045140.6220750.397091
211610377914-0.055150175150125501751758.805909.7311515.00116214.0776041.4518450.231627-2.5962713.869065
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2117 rows × 17 columns
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\n","  "]},"metadata":{},"execution_count":4}]},{"cell_type":"code","source":["analysim_csv.plot(\"meanPeriod_L:decimal\", \"meanDutyCycle_L:decimal\", kind = \"scatter\" )"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"h-FsHT5ZMceW","executionInfo":{"status":"ok","timestamp":1661367331505,"user_tz":240,"elapsed":332,"user":{"displayName":"Cengiz Gunay","userId":"04998639454012606716"}},"outputId":"d66d4da5-95a4-42c2-a150-d9ed3e935842"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":[""]},"metadata":{},"execution_count":7},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":[],"metadata":{"id":"lPn8so7vNQS6"},"execution_count":null,"outputs":[]}]}
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diff --git a/src/Analysim.Web/tugjuvgj.ipynb b/src/Analysim.Web/tugjuvgj.ipynb
deleted file mode 100644
index dd8fb55..0000000
--- a/src/Analysim.Web/tugjuvgj.ipynb
+++ /dev/null
@@ -1,158 +0,0 @@
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