How to simulate and analyze drift-diffusion models of timing and decision making
My talk will discuss the use of some of these four, simple Matlab functions to simulate models of timing, and to fit models to empirical data. Feel free to examine the code and the relatively brief book chapter that explains the code before the talk if you would like to learn more about computational/mathematical modeling.
Matlab in neuroimaging (Part 3): Image analysis in Matlab
Last in a three-part lecture series about using matlab in neuroimaging. For full details go here: https://bit.ly/matlabimaging
Matlab in neuroimaging (Part 2): Stimulus presentation and response collection with Psychtoolbox
Second in a three-part lecture series about using matlab in neuroimaging. For full details: https://mailchi.mp/b3f65bbc346d/onneuro-7885485
Matlab in neuroimaging (Part 1): Matlab basics
First in a three-part lecture series about using matlab in neuroimaging. For full details go here: https://bit.ly/matlabimaging