Probabilistic Learning with Affective Feedback: Exp #1

uploaded by James F Cavanagh on 2021-09-29 - 26 days ago
last modified on 2021-09-27 - 28 days ago
authored by Darin R. Brown, Trevor Jackson, James F Cavanagh
70
We found 1 Warning in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

and 44 more files

OpenNeuro Accession Number: ds003822
Files: 259, Size: 5.82GB, Subjects: 25, Session: 1
Available Tasks: ProbabilisticSelection
Available Modalities: EEG

README

RL task in N=25 college age participants. Data collected circa 2018 in the CRCL at UNM. The paper [Brown, D.R., Jackson, T.J. & Cavanagh, J.F. The Reward Positivity is sensitive to affective liking] is now coming out in Cognitive, Affective, & Behavioral Neuroscience. Your best bet for understanding this task would be to read that paper first. I've included additional scripts to help understand stimulus triggers etc. These additional scripts were for a secondary analysis: they were not the scripts used for the paper above. So they are slightly different and have some interesting (unfinished) tangents. - James F Cavanagh 09/29/2021

Authors

  • Darin R. Brown
  • Trevor Jackson
  • James F Cavanagh

Dataset DOI

10.18112/openneuro.ds003822.v1.0.0

License

CC0

Acknowledgements

How to Acknowledge

Funding

References and Links

  • pending

Ethics Approvals

How To Cite

Copy
Darin R. Brown and Trevor Jackson and James F Cavanagh (2021). Probabilistic Learning with Affective Feedback: Exp #1. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003822.v1.0.0
More citation info

Probabilistic Learning with Affective Feedback: Exp #1

uploaded by James F Cavanagh on 2021-09-29 - 26 days ago
last modified on 2021-09-27 - 28 days ago
authored by Darin R. Brown, Trevor Jackson, James F Cavanagh
70

OpenNeuro Accession Number: ds003822
Files: 259, Size: 5.82GB, Subjects: 25, Session: 1
Available Tasks: ProbabilisticSelection
Available Modalities: EEG

README

RL task in N=25 college age participants. Data collected circa 2018 in the CRCL at UNM. The paper [Brown, D.R., Jackson, T.J. & Cavanagh, J.F. The Reward Positivity is sensitive to affective liking] is now coming out in Cognitive, Affective, & Behavioral Neuroscience. Your best bet for understanding this task would be to read that paper first. I've included additional scripts to help understand stimulus triggers etc. These additional scripts were for a secondary analysis: they were not the scripts used for the paper above. So they are slightly different and have some interesting (unfinished) tangents. - James F Cavanagh 09/29/2021

Authors

  • Darin R. Brown
  • Trevor Jackson
  • James F Cavanagh

Dataset DOI

10.18112/openneuro.ds003822.v1.0.0

License

CC0

Acknowledgements

How to Acknowledge

Funding

References and Links

  • pending

Ethics Approvals

How To Cite

Copy
Darin R. Brown and Trevor Jackson and James F Cavanagh (2021). Probabilistic Learning with Affective Feedback: Exp #1. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003822.v1.0.0
More citation info

Dataset File Tree

Git Hash: 4066f42 

BIDS Validation

We found 1 Warning in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

and 44 more files

Dataset File Tree

Git Hash: 4066f42 

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