FOF pseudopopulation decoding

FOF pseudopopulation decoding

These files should be downloaded and added to the `julia` subfolder of the repository https://github.com/erlichlab/risk-fof-ppc-2023/tree/main/julia before running the `fof_lottery_decode.jl` notebook.This zip contains behavioural (beh.jld2) and spike time (spks.jld2) data from neural recordings ass...

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Hauptverfasser: Erlich, Jeffrey, Bao, Chaofei
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Behavioural neuroscience
Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)
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creator Erlich, Jeffrey
Bao, Chaofei
description These files should be downloaded and added to the `julia` subfolder of the repository https://github.com/erlichlab/risk-fof-ppc-2023/tree/main/julia before running the `fof_lottery_decode.jl` notebook.This zip contains behavioural (beh.jld2) and spike time (spks.jld2) data from neural recordings associated with the paper described in the project description. These files are in the JLD2 format, which is a Julia specific extension of HDF5. The files are not meant to be browsed on their own. Rather, they are loaded in the Julia notebook mentioned above to perform pseudopopulation decodings of the lottery value.
doi_str_mv 10.5522/04/24459559
format Dataset
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identifier DOI: 10.5522/04/24459559
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subjects Behavioural neuroscience
Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)
title FOF pseudopopulation decoding
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