Link: https://osf.io/ku3h4

Data from the experiment described in (Markkula et al., 2021), measuring human detection limits for visually looming (optically expanding) collision threats, as a function of collision threat kinematics. Participants watched a visual representation of the back of a car on a computer screen, and were instructed to respond with a button press as soon as they saw the car “coming closer”, i.e., growing on the screen. The dataset includes both behavioural responses (the button presses) as well as concurrently recorded 1024 Hz EEG data from a 64 electrode 10-20 international cap BioSemi system.

Further documentation of the dataset is available at the OSF link above, where there is also a link to the Github repository providing the MATLAB analysis code that was used for the analyses in (Markkula et al., 2021), as well as code for the models mentioned here.

Markkula, G., Uludağ, Z., Wilkie, R. M., & Billington, J. (2021). Accumulation of continuously time-varying sensory evidence constrains neural and behavioral responses in human collision threat detection. PLoS Computational Biology, 17(7), e1009096. https://doi.org/10.1371/journal.pcbi.1009096