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Papers : Biological and Artificial Neural Networks

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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

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Brain Decoding & Brain-machine interface

Artificial neural networks and computational neuroscience

Deep neural network as models of the Brain

  • arXivSpatial coding (Place cells, Grid cells, Head direction cells)

  • arXivSpatial coding (Place cells, Grid cells, Head direction cells)

  • arXivVision

  • arXivSpatial coding (Place cells, Grid cells, Head direction cells)

  • arXivVision

  • arXivAuditory cortex

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)

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