https://github.com/syntapy/brian_xor

Solution to XOR problem using spiking neural networks. Currtently working on a liquid state machine and training with ReSuMe rule.
https://github.com/syntapy/brian_xor

Last synced: 11 months ago
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Solution to XOR problem using spiking neural networks. Currtently working on a liquid state machine and training with ReSuMe rule.

• Host: GitHub
• URL: https://github.com/syntapy/brian_xor
• Owner: syntapy
• Created: 2015-03-18T17:59:38.000Z (over 11 years ago)
• Default Branch: brian2_lists_net
• Last Pushed: 2016-05-06T04:58:14.000Z (about 10 years ago)
• Last Synced: 2023-07-02T02:10:56.694Z (about 3 years ago)
• Language: Python
• Size: 2.51 MB
• Stars: 4
• Watchers: 1
• Forks: 4
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

          
# brian_xor

Solution to XOR problem using spiking neural networks. 

However, this is old code, and it uses ineficient methods, and bad coding principles.

Please refer to my other repository instead for a feedforward multilayer spike-based classifier

that solves the XoR problem, and hopefully the Iris benchmark: https://github.com/syntapy/normad