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Published on: September 16, 2015
Pre- and post-decision signals of certainty in changing minds
Pablo Barttfeld1, Nicolás Comay1, Iair Embon2
1Cognitive Science Group, Instituto de Investigaciones Psicológicas (IIPsi, CONICET-UNC), Facultad de Psicología, Universidad Nacional de Córdoba, Córdoba, Argentina.
Researchers explored the neural basis of confidence and changes of mind using computational modeling and intracranial recordings. They found evidence accumulation signals in the pre-supplementary motor area (preSMA) and insula, reframing metacognition as a dynamic process.
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Neuroscience
Background:
- Understanding the neural mechanisms underlying confidence and decision-making is crucial.
- Metacognition, or thinking about one's own thinking, involves complex neural processes.
- Previous research has implicated various brain regions in decision-making, but the specific roles in confidence and change of mind are less clear.
Purpose of the Study:
- To investigate the neural basis of confidence and the process of changing one's mind.
- To identify the brain regions and neural dynamics involved in evidence accumulation for decisions.
- To reframe the understanding of metacognition as a distributed and dynamic neural process.
Main Methods:
- Combined computational modeling with intracranial recordings in a recent study.
- Analyzed neural signals related to evidence accumulation during decision-making.
- Investigated both pre-decisional and post-decisional neural activity.
Main Results:
- Revealed a temporally organized and spatially distributed hierarchy of evidence accumulation.
- Identified pre-decisional confidence signals in the pre-supplementary motor area (preSMA).
- Found post-decisional signals related to changes of mind in the insula.
Conclusions:
- Confidence and changes of mind arise from a distributed neural hierarchy.
- The preSMA and insula play distinct roles in pre- and post-decisional processes.
- Metacognition should be viewed as a dynamic and distributed neural function.
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