Add Zhai 2025 analysis notebooks for DANDI:001538

- figure_1E_dspn_somatic_excitability.ipynb: Reproduces Figure 1E somatic excitability analysis
- figure_2GH_oepsc_analysis.ipynb: Reproduces Figure 2G-H oEPSC analysis
- figure_5F_acetylcholine_biosensor.ipynb: Reproduces Figure 5F acetylcholine biosensor analysis
- how_to_use_this_dataset.ipynb: Introduction and data exploration tutorial
- environment.yml: Conda environment with all dependencies
- README.md: Documentation explaining the notebooks and publication

Author: h-mayorquin

001538/catalyst_neuro/zhai_2025/README.md

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+# Analysis Notebooks for Zhai et al. 2025
+
+## Goal
+
+This submission provides Jupyter notebooks for reproducing key figures from **Zhai et al. 2025** using data from **DANDI:001538 - State-dependent modulation of spiny projection neurons controls levodopa-induced dyskinesia**. The notebooks demonstrate how to analyze electrophysiology, optogenetics, and acetylcholine biosensor data to understand cellular mechanisms underlying levodopa-induced dyskinesia in Parkinson's disease.
+
+## Publication
+
+**Zhai et al. 2025** - *State-dependent modulation of spiny projection neurons controls levodopa-induced dyskinesia*
+
+## Notebooks
+
+### `how_to_use_this_dataset.ipynb`
+Introduction and data exploration tutorial showing how to access and browse the NWB files in DANDI:001538, extract metadata, and perform basic data visualization.
+
+### `figure_1E_dspn_somatic_excitability.ipynb`
+Reproduces Figure 1E analyzing somatic excitability in direct pathway striatal projection neurons (dSPNs). Generates frequency-intensity curves and rheobase measurements from current clamp recordings to show L-DOPA treatment effects on neuronal excitability.
+
+### `figure_2GH_oepsc_analysis.ipynb`
+Reproduces Figure 2G-H analyzing optogenetically-evoked postsynaptic currents (oEPSCs). Compares amplitude distributions and mean responses between off-state and on-state conditions using ChR2 optogenetic stimulation and voltage-clamp recordings.
+
+### `figure_5F_acetylcholine_biosensor.ipynb`
+Reproduces Figure 5F analyzing acetylcholine release dynamics using the GRABACh3.0 biosensor. Shows acetylcholine signaling alterations across control, Parkinsonian, and dyskinetic conditions with pharmacological modulation (dopamine, quinpirole, sulpiride).

001538/catalyst_neuro/zhai_2025/environment.yml

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+name: zhai2025_analysis
+channels:
+  - conda-forge
+  - defaults
+dependencies:
+  # Python (matching pyproject.toml requirements)
+  - python=3.12
+  
+  # Core scientific computing
+  - numpy>=1.21.0
+  - pandas>=2.2.3
+  - scipy>=1.7.0
+  
+  # Data visualization
+  - matplotlib>=3.10.3
+  - seaborn>=0.13.2
+  
+  # HDF5 and file handling
+  - h5py>=3.1.0
+  - lxml
+  - tifffile>=2025.5.10
+  - openpyxl>=3.1.5
+  
+  # Progress bars
+  - tqdm>=4.67.1
+  
+  # Environment variables
+  - python-dotenv>=1.1.1
+  
+  # Jupyter notebook support
+  - jupyter>=1.0.0
+  - ipykernel>=6.29.5
+  - ipywidgets>=7.6.0
+  
+  # Image processing
+  - opencv-python-headless>=4.12.0.88
+  - imagecodecs>=2025.3.30
+  
+  # Install via pip
+  - pip
+  - pip:
+    # DANDI API client
+    - dandi>=0.69.3
+    
+    # NWB file format support
+    - pynwb>=2.1.0
+    - hdmf==4.0.0
+    - neuroconv>=0.7.4
+    - nwbinspector
+    
+    # NWB streaming and remote access
+    - remfile>=0.1.13
+    - fsspec>=2021.10.0
+    - aiohttp>=3.8.0
+    - s3fs>=2021.10.0
+    
+    # Additional dependencies from pyproject.toml
+    - nd2>=0.10.3
+    - xmltodict>=0.14.2
+    - roiextractors>=0.5.13
+    - astropy>=6.1.7
+    - ndx-optogenetics
+    - xarray>=2025.7.1
+    - tabulate>=0.9.0
+    
+    # Additional analysis tools
+    - scikit-learn>=1.0.0
+    - statsmodels>=0.13.0