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Nippani-Meghana/README.md

Hi! I'm Meghana

computational neuroscience • stochastic dynamics • information theory • active inference

About

I work on computational models of neural systems, implementing stochastic neuron models from differential equations, benchmarking against biological ground truth, and applying information-theoretic measures to characterize network dynamics.

My broader interests include predictive processing, active inference, and computational psychiatry, particularly how disruptions in neural computation may relate to psychiatric disorders.

Current Work

models = [
    "Pospischil RS Cortical Neuron",
    "Morris-Lecar",
    "FitzHugh–Nagumo",
    "Leaky Integrate-and-Fire",
]

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  1. stochastic-neuron-models stochastic-neuron-models Public

    Modular implementation of the deterministic and stochastic FitzHugh–Nagumo model in the excitable regime, including additive and multiplicative noise, phase-plane visualization, and ensemble spike …

    Python

  2. FitzHugh-Nagumo-Model FitzHugh-Nagumo-Model Public

    A concise implementation of the FitzHugh–Nagumo model with phase plane streamplots and nullclines, intended as a foundation for future work on stability and bifurcation analysis.

    Jupyter Notebook

  3. pospischil-rs-cortical-neuron pospischil-rs-cortical-neuron Public

    Python

  4. data-analysis-ml data-analysis-ml Public

    Python

  5. CCF_Metrics CCF_Metrics Public

    Jupyter Notebook 1

  6. The-Metrics-Archive The-Metrics-Archive Public

    JavaScript