Accelerated SNN simulator for neuromorphic computing and research in Python
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Updated
Jun 23, 2023 - Python
Accelerated SNN simulator for neuromorphic computing and research in Python
Network model of Rosenbaum et al. (2017) reimplemented in Brian 2. Developed as a course project during OCNC2017.
Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".
code demos for primitives of spiking neural networks
A neuroscientific sequence learning model on spiking neural networks with winner-take-all circuits and lateral inhibition. Written using the NEST neural simulator and custom neuron/synapse models.
Python and ROS implementation of an SNN on Intel's Loihi neuromorphic processor mimicking the oculomotor system controlling a biomimetic robotic head
A simple experiment to compare Artificial and Spiking Neural Networks in Sequential and Few-Shot Learning.
Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks
Self-Control Reservoir Network is a neural network concept that inspires from the human brain and from Reservoir Computing, designed for a better and smarter computing network
Simulation of a real time spiking neural network
Runs networkx graphs representing spiking neural networks of LIF-neurons on lava-nc or networkx.
Repo of the bachelor thesis 'Dynamic memory traces for sequence learning in spiking networks'
Cerebellum learning to perform the VOR.
A few Colab Notebooks that can be used to get started with pyNN and test virtual sPyNNaker without many issues.
A demo for robotic control loop with Intel's Loihi neuromorphic chip used in our papers
Showcases of Spiking Neural Network, which have Synaptic Plasticity
Bio-inspired spiking-neural-network framework on an autonomous robot car.
Spiking Neural Network implementation in pure C++ with minimal dependencies
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