[Apologies for cross-postings]

Dear colleagues,

It is our pleasure to introduce the release of the python package BindsNET and its companion paper in Frontiers in Bioinformatics “BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python”.

BindsNET is a python package to simulate a spiking neuronal network using a GPU. The framework is easy and well in line with Python, NumPy and PyTorch standard that runs on CPU’s/GPU’s. BindsNet will serve both the novel researcher and the seasoned programmer wanting to perform rapid prototyping prior to diving into hardware implementation.

To achieve maximum performance and flexibility, BindsNET re-purposes the powerful and flexible PyTorch library. By wrapping around PyTorch we avoid "reinventing the wheel" by reusing it's function and sub-modules for the spiking neuronal networks computational needs.

For more details on performance, usability and code examples please see the Frontier paper as well in the GitHub repository.

Happy spiking


Thanks

Hananel Hazan

Postdoctoral Research Associate
BINDS Lab, UMass Amherst, USA
http://Hananel.Hazan.org.il