NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

Papers : Biological and Artificial Neural Networks

JAX-based Spiking Neural Network framework

Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.

Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)

NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch

NEST Desktop is a web-based GUI for NEST Simulator and other simulators of spiking networks.

A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting electrical stimulation responses of neural populations.

We introduce Local recurrent Predictive coding model termed as Parallel temporal Neural Coding Network. Unlike classical RNNs, our model is pure local and doesn't require computing gradients backward in time; thus computationally more efficient compared to BPTT and can be used for online learning

Code behind the work "Multiple Synaptic Contacts Combined with Dendritic Filtering Enhance Spatio-Temporal Pattern Recognition of Single Neurons", bioRxiv 2022

Implementations of various simulations for integrate and fire models, as well as conductance based models with synaptic neurotransmission

C++ neuron-based neural network library

computational efficacy of a modular spiking neural network as a function of heterogeneity of delay in the network

Biological Neural Network based on Izhikevich Neuron Model

Open documentation hosting for the Neuroblox project