genema/Noisy-Spiking-Neuron-Nets

[CELL PATTERNS] Official repo of Noisy Spiking Neural Networks

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This project helps computational neuroscientists and machine learning practitioners build more robust and biologically plausible spiking neural networks. It takes your existing spiking neural network models and allows you to incorporate various types of noise into their neuron dynamics. The output is a neural network model that can perform computations with improved reliability and better mimic the probabilistic nature of biological brains.

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Use this if you are a researcher or practitioner working with spiking neural networks and want to explore the benefits of integrating noisy neuronal dynamics for enhanced performance and biological realism.

Not ideal if you are looking for a pre-trained, ready-to-use neural network for a specific application rather than a framework for building and researching network architectures.

neuromorphic-computing computational-neuroscience spiking-neural-networks artificial-intelligence-research robust-machine-learning
Stale 6m No Package No Dependents
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21

Forks

2

Language

Python

License

LGPL-2.1

Last pushed

Sep 15, 2023

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