BindsNET/bindsnet
A spiking neural network simulator built on PyTorch for biologically inspired machine learning algorithms.
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BindsNET simulates spiking neural networks (SNNs) on CPUs or GPUs using PyTorch tensor functionality. It is designed for developing biologically inspired algorithms for machine learning and reinforcement learning problems. The library is used by the BINDS lab at UMass Amherst and the Allen Discovery Center at Tufts University for ongoing research on applying SNNs to ML and RL challenges.
Frequently asked
- What is BindsNET/bindsnet?
- A spiking neural network simulator built on PyTorch for biologically inspired machine learning algorithms.
- Is bindsnet open source?
- Yes — BindsNET/bindsnet is open source, released under the AGPL-3.0 license.
- What language is bindsnet written in?
- BindsNET/bindsnet is primarily written in Python.
- How popular is bindsnet?
- BindsNET/bindsnet has 1.7k stars on GitHub.
- Where can I find bindsnet?
- BindsNET/bindsnet is on GitHub at https://github.com/BindsNET/bindsnet.