Bae_Luck_2018_data {circhelp}

Data from a motion estimation task

Description

A dataset with the motion estimation results from Bae & Luck (2018) available from https://osf.io/4m2kb/ (some variables are removed, see the link for the full dataset).

Usage

Bae_Luck_2018_data

Format

A data frame with 20480 rows and 8 variables:

subject_Num

observer ID

trial_Num

trial number

TargetDirection

true motion direction

RespAngle

reported motion direction

motionCoh

motion coherence

Block

block number

Session

session number

err

estimation error

Source

https://osf.io/4m2kb/download

References

Bae, G.-Y., & Luck, S. J. (2018). Decoding motion direction using the topography of sustained ERPs and alpha oscillations. NeuroImage, 184(August 2018), 242–255. doi:10.1016/J.NEUROIMAGE.2018.09.029