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  1. A-simple-liquid-state-machine-using-tensorflow A-simple-liquid-state-machine-using-tensorflow Public

    We utilize tensorflow to create a simple liquid state machine (reservoir) composed of Izhikevich neurons. There are 20% inhibitory neurons and 80% excitatory neurons in the reservoir.

    Jupyter Notebook 1

  2. Expression-velocity-network Expression-velocity-network Public

    We employ RNA velocity to construct a gene expression-velocity network. It supplies dynamical gene information compared with the conventional gene co-expression network.

    Python

  3. Performance-of-FlowSOM-with-different-arcsinh-normalizing-parameters Performance-of-FlowSOM-with-different-arcsinh-normalizing-parameters Public

    The code compares the performance of R package FlowSOM with different arcsinh normalizing parameters on 4 canonical datasets.

    R

  4. CPP-example-of-vector-and-matrix-class CPP-example-of-vector-and-matrix-class Public

    Construction of C++ vector and matrix class. The code is mainly from the textbook.

    C++

  5. Volterra-model-for-the-population-growth-in-a-closed-system Volterra-model-for-the-population-growth-in-a-closed-system Public

    Here is an example of animation for Volterra population model in a closed system with the spatial variation term.

    MATLAB

  6. Formation-of-working-memory-in-a-spiking-neuron-network-accompanied-by-astrocytes Formation-of-working-memory-in-a-spiking-neuron-network-accompanied-by-astrocytes Public

    We reproduced some of the results from the paper Formation of working memory in a spiking neuron network accompanied by astrocytes

    Python