NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
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Updated
Oct 25, 2024 - Python
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it has original content in terms of code.
Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
Nengo library of additional extensions
A curated list of awesome neuromorphic frameworks, libraries, resources, and other things
Neuron++ is a library which wraps NEURON (http://www.neuron.yale.edu) with easy to use Python objects.
Fast and Efficient Random Neural Network Simulator implemented in Python
Reinforcement learning library for PyTorch.
Spiky networks
An implementation of SNN(3rd gen) with synaptic plasticity
Network inference via Event Space Linearization (ESL)
Companion code to Confavreux*, Ramesh*, Goncalves, Macke* & Vogels*, Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference, NeurIPS 2023
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