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Using stochastic integration models to gain insight into perceptual decision-making in health and disease
Mathematical Biology| Speaker: | Jochen Ditterich, UC Davis, NPB |
| Location: | 2112 MSB |
| Start time: | Mon, Oct 24 2022, 4:10PM |
Stochastic integration models have been very successful in explaining behavior when making perceptual decisions. I will use two examples to demonstrate how this type of model can provide insights into decision mechanisms in health and disease. First, I will show that the model cannot only explain the distributions of choices and response times, when humans make perceptual decisions between multiple alternatives, but that it can also capture what subjects report, when they are asked to second-guess their decisions, i.e., reconsider the remaining alternatives. Second, I will show how the model can also provide insights into decision-making deficits and underlying mechanisms in patient populations, using suboptimal combination of prior information with sensory evidence in patients with Parkinson’s disease as an example.
Also available on Zoom: https://ucdavis.zoom.us/j/98625205371