https://github.com/nengo/nengo-spa

Implementation of the Semantic Pointer Architecture for Nengo
https://github.com/nengo/nengo-spa

cognitive-architecture cognitive-science nengo neural-networks neuroscience python

Last synced: 27 days ago
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Implementation of the Semantic Pointer Architecture for Nengo

• Host: GitHub
• URL: https://github.com/nengo/nengo-spa
• Owner: nengo
• License: other
• Created: 2017-01-01T21:48:39.000Z (almost 8 years ago)
• Default Branch: main
• Last Pushed: 2024-02-28T20:13:42.000Z (10 months ago)
• Last Synced: 2024-04-27T04:03:38.331Z (8 months ago)
• Topics: cognitive-architecture, cognitive-science, nengo, neural-networks, neuroscience, python
• Language: Python
• Homepage: https://www.nengo.ai/nengo-spa/
• Size: 27.3 MB
• Stars: 20
• Watchers: 19
• Forks: 5
• Open Issues: 9
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGES.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE.rst

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README

        
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   :alt: NengoSPA logo

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*************************************************************

Implementation of the Semantic Pointer Architecture for Nengo

*************************************************************

The `Semantic Pointer Architecture

`_ provides an

approach to building cognitive models implemented with large-scale spiking

neural networks.

Feature highlights

==================

- Write arbitrarily complex expressions with type checking involving neurally

  represented and static Semantic Pointers like

  ``dot((role * filler + BiasVector) * tag, cmp) >> target``. NengoSPA will

  take care of implementing the required neural networks.

- Quickly implement action selection systems based on a biological plausible

  model of the basal ganglia and thalamus.

- Neural representations are optimized for representing Semantic Pointers.

- Support for using different binding methods with algebras. NengoSPA ships

  with implementations of circular convolution (default) and vector-derived

  transformation binding (VTB), which is particularly suitable for deep

  structures. Different binding operations/algebras can be mixed in a single

  model.

- Seamless integration with non-SPA Nengo models.

Project status

==============

- All of the core functionality is implemented and the API is stable.

- While basic integration with the NengoGUI works, it should be improved in

  the future. However, this will not be pursued until major improvements to

  NengoGUI are released.

Installation

============

NengoSPA depends on `Nengo 2.7+ `_, and we recommend

that you install Nengo before installing NengoSPA.

To install NengoSPA::

    pip install nengo-spa

NengoSPA is tested to work on Python 3.6+.

If you need support for Python 2.7 or 3.4, NengoSPA 0.6.2 is the last version

with support for these earlier Python versions.

Documentation

=============

The documentation can be found `here `_.

Getting Help

============

Questions relating to Nengo and NengoSPA, whether it's use or it's

development, should be asked on the Nengo forum at ``_.