A simulation of unsupervised (STDP) and reinforcement learning (Reward-based STDP) in human brain

Implementation of some of the basic neural models and simulation of interactions between neurons in a population and learning process from scratch in Python.

Multiunit goodness of fit testing using the time rescaling theorem.

An extension for interactive models of DynaSim toolbox

This repository is simulating the process of decision making in our brain that is done by neuron populations.

Implementation of computational neuroscience models, including single neurons, neural populations, networks, and learning processes