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

Dayan, P

Local TagsRelease HistoryDetailsSummary

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 (Neuromonster 2022). Heraklion, Greece. 2022-09-23 - 2022-09-25.

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://hdl.handle.net/21.11116/0000-000A-E33D-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-C952-2

Genre: Talk

Files

show Files

Locators

show

hide

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

Description:
-

OA-Status:
Not specified

Creators

show

hide

Creators:
Dayan, P¹, Author

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

Content

show

Details

show

hide

Language(s):

Dates: Published Online: 2022-09

Publication Status: Published online

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: -

Identifiers: -

Degree: -

Event

show

hide

Title: The Third International Symposium on the Mathematics of Neuroscience (Neuromonster 2022)

Place of Event: Heraklion, Greece

Start-/End Date: 2022-09-23 - 2022-09-25

Invited: Yes

Legal Case

show

Project information

show

Source

show