Model-agnostic analyses of logRT data

Marshall, Louise

Description

Model-agnostic analyses of logRT data. Data are participant x true transition probability.
For x.AllCorrectTrials, x.LateEarlyDifference and x.LateEarlyDifference_millisecond:Column 1 = high probability transition (p=0.70 or p=0.85)Column 2 = mid probability transition (p=0.20 or p=0.25)Column 3 = low probability transition (p=0.05)NaN = missing data
x.DrugID gives the row-wise drug identifier for each participant, where:1 = Placebo2 = DA-3 = ACh-4 = NA-
x.DeltaAlertness and x.BodyWeight were used as covariates in the analyses.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Computer Networks and Communications

Field

Computer Science

Domain

Physical Sciences

Confidence Score

86%

Source

Open Alex

Keywords

Neuroscience

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00