The neuroscience of decision making (interview with Timothy Hanks)

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Citation KeyFriedman2020NeuroscienceDecisionMakingInterview091

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Overview

Extracted from the local paper documentation when available.

This interview with Professor Tim Hanks explores the intersection of neuroscience and decision making, emphasizing the importance of an integrative approach that incorporates various experimental methods and models. Hanks discusses how computational neuroscience informs research agendas and everyday decision-making processes, while also addressing the philosophical implications of free will and conscious awareness.

decision makingcomputational neuroscienceBayesian brainfree willmental healthattentionneural circuits

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

Introduces an integrative approach to studying decision making that combines multiple experimental methods.
Highlights the role of computational neuroscience in shaping research agendas and personal decision-making.
Explores the relationship between neural mechanisms and the philosophical concept of free will.
Encourages open-mindedness about future developments in neuroscience.

Methods / Techniques

Utilizes Bayesian reasoning to inform decision-making processes.
Discusses the accumulation of evidence to a threshold level as a mechanism for decision commitment.
Examines neural activity related to decision-making and its implications for understanding free will.
Proposes a roadmap for future research that bridges conscious awareness with neural measurements.

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2020. The neuroscience of decision making (interview with Timothy Hanks). ALIUS Bulletin.

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