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Theoretical Neuroscience: Decision Making and its Discontents

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Dayan,  P
Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://www.abstractsonline.com/pp8/#!/7883/presentation/1247
(Abstract)

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Citation

Dayan, P. (2019). Theoretical Neuroscience: Decision Making and its Discontents. Talk presented at 49th Annual Meeting of the Society for Neuroscience (Neuroscience 2019). Chicago, IL, USA. 2019-10-19 - 2019-10-23.


Cite as: https://hdl.handle.net/21.11116/0000-0005-0B96-6
Abstract
Theoretical neuroscience comes in three intertwined strands: data analysis, which is of ever greater importance in the present age of burgeoning big neural data; mathematical neuroscience, offering quantitative accounts spanning levels of description; and computational neuroscience, predicated on the fact that brains solve complex information processing problems. This lecture will review elements of each of these, focusing on the ever richer understanding of normal and dysfunctional affectively-charged decision-making.