Skip to main content
Context Awesome

bnn-ann-papers

github.com/takyamamoto/bnn-ann-papers ↗

Papers : Biological and Artificial Neural Networks

79
GitHub Stars
143
Curated Resources
7
Categories
3 hours ago
Last Refreshed
Artificial neural networks and computational neuroscienceDeep neural network as models of the BrainNeural network architecture based on neuroscienceReinforcement LearningLearning and developmentBrain Decoding & Brain-machine interfaceOthers

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me analysis methods for neural networks resources from bnn-ann-papers"

Installation instructions →

What's inside

Brain Decoding & Brain-machine interface

Artificial neural networks and computational neuroscience

Learning and development

  • arXivLearning dynamics of neural networks and brains

  • arXivBiologically plausible learning algorithms

  • arXivBiologically plausible learning algorithms

  • arXivBiologically plausible learning algorithms

  • arXivBiologically plausible learning algorithms

  • arXivBiologically plausible learning algorithms

Neural network architecture based on neuroscience

  • arXivPredNet (Deep predictive coding network)

  • arXivPredNet (Deep predictive coding network)

  • arXivPredNet (Deep predictive coding network)

  • arXivPredNet (Deep predictive coding network)

  • arXivPredNet (Deep predictive coding network)

  • arXivPredNet (Deep predictive coding network)

Deep neural network as models of the Brain

Showing a sample of 143 resources. View the full list on GitHub →