Learning from scratch: Non-parametric models of task acquisition over the long 
run

Dayan, P

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Learning from scratch: Non-parametric models of task acquisition over the long run

Dayan, P. (2022). Learning from scratch: Non-parametric models of task acquisition over the long run. Talk presented at The Third International Symposium on the Mathematics of Neuroscience. Heraklion, Greece. 2022-09-24 - 2022-09-25.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-E33D-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-E341-C

Genre: Talk

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https://www.neuromonster.org/ (Table of contents) Open Access status unknown

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Creators:
Dayan, P¹, Author

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1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468

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Dates: Published Online: 2022-09

Publication Status: Published online

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Title: The Third International Symposium on the Mathematics of Neuroscience

Place of Event: Heraklion, Greece

Start-/End Date: 2022-09-24 - 2022-09-25

Invited: Yes

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