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Mechanisms of Adaptive Choice History Biases in the Human Brain

Subject Area Human Cognitive and Systems Neuroscience
Term from 2014 to 2023
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 259469422
 
Final Report Year 2023

Final Report Abstract

Human judgment is profoundly biased by the history of previous environmental states, judgments, or outcomes. Specifically, people tend to repeat (or alternate) their choices more frequently than expected by chance when evaluating noisy evidence in random sequence; and people tend to stick to their previous judgments even in the face of strong contradictory new evidence (“confirmation bias”). In this DFG project, we have performed psychophysical and neurophysiological studies to elucidate choice history biases in the human brain. We focused on choice history biases in perceptual decisions under uncertainty so as to exploit previously established neural population representations of sensory evidence, the resulting decision variable, and the eventual action plan. We performed detailed, computational model-based analyses of sequential patterns in choice behavior and quantitatively related the model parameters to magnetoencephalographic (MEG) or functional magnetic resonance imaging (fMRI) measures of neural dynamics in the cerebral cortex. This approach identified trial history-dependent biases in neural population activity, which were expressed in different formats and cortical regions, and some of which were key in mediating the behavioral biases. The development of novel behavioral tasks enabled us to also perform systematic manipulations of choice history biases or mechanistic comparisons between confirmation biases and selective attention. MEG studies using these novel tasks identified, among other things, a choice-induced allocation of endogenous attention as a plausible mechanism for confirmation bias. This project has provided new insights into the neurobiological bases of contextdependent human decision-making, including some apparent deviations from rationality.

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