Efficient neural decoding of self-location with a deep recurrent network
Content
Introduction
Abstract
Figures
Fig 1. Accurate decoding of position with a RNN
Fig 2. Comparison of RNN and Bayesian decoders
Fig 3. Spatial decoding across animals in 2D and 1D environments
Fig 4. Analysis of the errors in function of location and neural activity for rat R2192
Fig 5. Results of knockout analysis
External links
Published paper
GitHub repository
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