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Project Descriptions
Spring 2025

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Showing 4 projects out of 4 found. On page 1 out of 1.
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Biased priors or inference in depressed and anxious individuals?

Sonia Bishop - Professor, Psychology

Status: Full- no new appr needed     Weekly Hours: 9-11 hrs     Location: On Campus

General to all projects listed: Computational models have been a powerful tool for studying decision-making in both psychology and neuroscience. They have recently become popular in psychiatry as well. Part of the appeal has been that computational approaches delineate individual differences in decision-making that can explain why people...

 Education, Cognition & Psychology   Social Sciences

Computational investigation of influences of anxiety and depression on human decision making under uncertainty.

Sonia Bishop - Professor, Psychology

Status: Full- no new appr needed     Weekly Hours: 9-11 hrs     Location: On Campus

Computational models have been a powerful tool for studying decision-making in both psychology and neuroscience. They have recently become popular in psychiatry as well. Part of the appeal has been that computational approaches delineate individual differences in decision-making that can explain why people with different psychiatric disorders (such...

 Education, Cognition & Psychology   Social Sciences

Effort based decision-making

Sonia Bishop - Professor, Psychology

Status: Full- no new appr needed     Weekly Hours: 9-11 hrs     Location: On Campus

General to all projects: Computational models have been a powerful tool for studying decision-making in both psychology and neuroscience. They have recently become popular in psychiatry as well. Part of the appeal has been that computational approaches delineate individual differences in decision-making that can explain why people with...

 Education, Cognition & Psychology   Social Sciences

Exploring the brain's response to faces using maps of the cortical surface

Sonia Bishop - Professor, Psychology

Status: Full- no new appr needed     Weekly Hours: 9-11 hrs     

In this project, we are using multi-feature encoding models to analyse functional magnetic resonance imaging data collected when participants look at naturalistic examples of emotional faces. The goal is to better understand how tuning to facial information (expression, gender, age etc) varies across the cortical surface of the human...

 Education, Cognition & Psychology   Social Sciences

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