Published January 15, 2019
| Version v1
Dataset
Open
Data for "Efficient neural decoding of self-location with a deep recurrent network"
- 1. University of Tartu
- 2. University College London
Description
Data for reproducing results with Bayesian decoders (MLE and Bayesian with memory) reported in the article
"Efficient neural decoding of self-location with a deep recurrent network".
This data should be used with the code found in https://github.com/NeuroCSUT/RatGPS and should be placed in the Bayesian/Data folder of the codebase.
Files
Tampuu_et_al_RatGPS_Data.zip
Files
(3.1 GB)
| Name | Size | Download all |
|---|---|---|
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md5:fe100c5aad6a5640736a3e9325094209
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3.1 GB | Preview Download |