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neural networks as a general-purpose computational framework

Project description

Neuralkernel

Build Status PyPI PyPI - License PyPI - Python Version

This project uses networks of neuron-like computational units to build a framework of computation. Specifically, it implements characteristics traditionally found in neural networks including synaptic diversity, temporal delays, and voltage spikes. It builds on the ideas proposed in the paper STICK: Spike Time Interval Computational Kernel, A Framework for General Purpose Computation.

Getting Started

To run a sample network, you can run the module.

python -m neuralkernel

The networks currently implemented are:

  • Inverting Memory
  • Logarithm
  • Maximum
  • Non-Inverting Memory
  • Full Subtractor

For more information on each of these networks, please check out the docs folder.

Running the tests

To run the unit tests, you can run the following.

pytest

Project details


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