NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
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Updated
Dec 16, 2024 - Python
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
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.
Nengo library of additional extensions
A curated list of awesome neuromorphic frameworks, libraries, resources, and other things
Reinforcement learning library for PyTorch.
Spiky networks
Neuron++ is a library which wraps NEURON (http://www.neuron.yale.edu) with easy to use Python objects.
An implementation of SNN(3rd gen) with synaptic plasticity
Fast and Efficient Random Neural Network Simulator implemented in Python
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
Matlab code for simulating an efficient E-I spiking network developed from efficient coding.
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