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README.md
Lucent-things
This code will allow you to fit ANNs to the data and get tunings and most exciting inputs (MEIs)! For details, see the main publication.
Everything is controlled via NPC_monkey.ipynb. Just change the constants in the first cell to match your local path to the data. Then "Run">"Run All Cells". It can take a long time to pre-process the data and then run the models.
N.B. you need to run "extract_MUA.m" first, to unpack the norm MUA data into individual arrays.
| datacite.yml | |
|---|---|
| Title | TVSD: THINGS Ventral-stream Spiking Dataset |
| Authors |
Papale,Paolo;NIN (KNAW);ORCID:0000-0002-6249-841X
Roelfsema,Pieter;NIN (KNAW);ORCID:0000-0002-1625-0034 |
| Description | Large-scale electrophysiological recordings from V1, V4 and IT in two macaques in response to ~22k images from the THINGS image database. |
| License | Creative Commons CC BY Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/) |
| References |
Papale, P., Wang, F., Self, W.M. and Roelfsema P.R., (accepted) An extensive dataset of spiking activity to reveal the syntax of the ventral stream, Neuron [doi:tba] (IsDescribedBy)
|
| Funding |
NWO; VI.Veni.222.217
NWO; OCENW.XS22.2.097 NWO; Crossover grant 17619 INTENSE NWO; DBI2 EU; HORIZON 2020 FP, 945539 Human Brain Project EU; HORIZON 2020 FP, 899287 NeuraViper EU; ERC 101052963 NUMEROUS |
| Keywords |
THINGS
Vision Neurophysiology Monkey Ventral stream Natural Images TVSD |
| Resource Type |
Dataset |