comp-neuro

This repository contains a collection of personal projects exploring key concepts and models in computational neuroscience.

Contents

Example projects include:

• Rate and spiking neuron models (e.g., integrate-and-fire, Hodgkin-Huxley)
• Model neural systems (e.g. Perceptron)
• Synaptic plasticity (e.g. Hebbian learning, STDP)

Each project is self-contained and typically presented in a Jupyter.

Tools & Libraries

• Python
• numpy, matplotlib, scipy
• Jupyter Notebooks

Status

Ongoing — new models and notebooks will be added as I explore more topics.