Link: https://github.com/gmarkkula/LoomingDetectionStudy MATLAB implementations of the various accumulator (and threshold) models of visual looming detection described in (Markkula et al., 2021). The code can be found in the analysis folder in the Github repository, which also includes code for non-model analyses of the dataset used in the paper (as described here). The model implementations can be found in the SimulateOneTrial_AccumulatorModel.m and SimulateOneTrial_ThresholdModel.m functions, and an example of use of these functions can be found in do_19_model_MLEModelSimulationsForFigures.

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.