Efficient neural decoding of self-location with a deep recurrent network

Ardi Tampuu | Tambet Matiisen | H. Freyja Ólafsdóttir | Caswell Barry | Raul Vicente

Published paper: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006822#abstract0

Official repo: https://github.com/NeuroCSUT/RatGPS

Jupyter-book: https://notebook-factory.github.io/NeuralDecoding_book/intro

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Reproduce author scripts:

: Contains source code for Figures 1 and 3
: Contains source code for Figures 2 and 4
: Contains source code for Figures 5 and 6

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Reproduce Jupyter-book figures:

: Accurate decoding of position with a RNN
: Comparison of RNN and Bayesian decoders
: Spatial decoding across animals in 2D and 1D environments
: Analysis of the errors in function of location and neural activity for rat R2192
: Results of knockout analysis
: Gradient analysis, Sensitivity decreases with activity

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