snntorch
MI-EEG-1D-CNN
snntorch | MI-EEG-1D-CNN | |
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2 | 1 | |
1,085 | 143 | |
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9.2 | 0.0 | |
10 days ago | almost 2 years ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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snntorch
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Bio inspired computer vision
Spiking Neural Networks (SNNs): neural networks that use spiking neurons (i.e. neurons that communicate using asynchronous binary spikes similarly to biological neurons) instead of artificial neurons. Apart from this particularity, SNNs can be organized in any kind of topology we all know, like CNNs, ViT, etc. There are tons of approaches to train SNNs, like bio-inspired learning rules (STDP, three factor rules, etc) or adaptations of backprop (which remains the SOTA in a lot of vision tasks). A good resource to begin with backprop-trained SNNs: https://snntorch.readthedocs.io/en/latest/ .
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How to train brain-inspired spiking neural networks using lessons from deep learning. Interactive Colab notebook links in thread.
Github: https://github.com/jeshraghian/snntorch
MI-EEG-1D-CNN
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I made a neural network that predicts your motor intentions through EEG with Python and Tensorflow.
Code: https://github.com/Kubasinska/MI-EEG-1D-CNN
What are some alternatives?
spikingjelly - SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
moabb - Mother of All BCI Benchmarks
bindsnet - Simulation of spiking neural networks (SNNs) using PyTorch.
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
pytorch-forecasting - Time series forecasting with PyTorch
awesome-BCIss - List of summer schools to study brain-computer interfaces, neurotechnology & related fields worldwide
Kilosort - Fast spike sorting with drift correction for up to a thousand channels
pycox - Survival analysis with PyTorch
norse - Deep learning for spiking neural networks