awesome-spiking-neural-networks
github.com/vvvityaaa/awesome-spiking-neural-networks ↗A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me applied papers resources from awesome-spiking-neural-networks"
Installation instructions →What's inside
Papers :page_with_curl:
- A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial VehicleApplied papers
using spiking neural networks for decision making for intelligent agents.
- A History of Spike-Timing-Dependent PlasticityLearning methods for SNNs
origins and history of STDP learning method.
- A logical calculus of the ideas immanent in nervous activityNeuron models
one of the first neuron models for computation, based on "all-or-none"-property of biological neurons.
- A quantitative description of membrane current and its application to conduction and excitation in nerveNeuron models
introduction of Hodgkin-Huxley neuron model.
- A Survey of Neuromorphic Computing and Neural Networks in HardwareNeuromorphic hardware
broad discussion on major research topics on neuromorphic hardware.
- Biologically inspired alternatives to backpropagation throughtime for learning in recurrent neural netsLearning methods for SNNs
biologically plausible approximation of backpropagation through time.
Frameworks :computer:
- BindsNET
Python framework for simulation of spiking neural networks using Pytorch.
- Brian2
python simulator for spiking neural networks.
- NengoDL
library for building, testing and deploying neural networks, especially spiking neural networks.
- NEST
spiking neural network simulator with focus on dynamics, size and structure of neural systems. Can be complemented by PyNN.
- Norse
framework for spiking neural networks, which expands PyTorch with SNN primitives.
- PyNN
library for defining neural models independent of simulator specifics.
Repositories :open_file_folder:
- BrainPy
simulation toolbox for computational neuroscience research.
- hybrid-snn-conversion
hybrid ann to snn conversion with spike-based backpropagation.
- snn-toolbox
toolbox for conversion of ANNs into SNNs using weight normalization.
- spikeflow
library for spiking neural networks on top of Tensorflow.
- SpikingJelly
new simple SNN framework in Pytorch with easy SNN initialization and ANN2SNN conversion.
Books :closed_book:
- Dynamical Systems in Neuroscience
theoretical neuroscience with exercises and solutions.
- Neuronal Dynamics
introduction to theoretical and computational neuroscience.
- Neuronal Dynamics - Lectures
youtube playlists of lectures, based on the book "Neuronal Dynamics".
Others :memo:
- Human Brain Project
european project for research in neuroscience, computing and brain-related medicine.
- LIF Simulation
tutorial on the leaky-integrate-and-fire simulation using Tensorflow.
- McCulloch & Pitts Neural Net Simulator
visualized web simulator for McCulloch & Pitts NN model.
- Spiking Neuron Simulation
tutorial on a simple spiking neuron simulation using Tensorflow.
Showing a sample of 56 resources. View the full list on GitHub →