Skip to main content

neural networks as a general-purpose computational framework

Project description


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.


Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release. See tutorial on generating distribution archives.

Built Distribution

neuralkernel-0.0.8-py3-none-any.whl (8.8 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page