English
English
Deutsch
日本語
Help
Privacy Policy
Disclaimer
Include files
Advanced Search
Browse
START
BASKET (0)
Tools
Item
ITEM ACTIONS
EXPORT
Add to Basket
Please note that a newer version of this item is available:
https://pure.mpg.de/pubman/item/item_1794313_2
Details
Summary
How neurons learn to associate 2D-views in invariant object recognition
Wallis, G.
(1996).
How neurons learn to associate 2D-views in invariant object recognition
(37).
Item is
Released
show all
hide all
Basic
show
hide
Item Permalink
:
https://hdl.handle.net/11858/00-001M-0000-0013-EB46-2
Version Permalink
:
https://hdl.handle.net/11858/00-001M-0000-0013-EB47-F
Genre
:
Report
Files
show Files
Locators
show
Creators
show
hide
Creators
:
Wallis, GM
1
, Author
Affiliations
:
1
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797
Content
show
hide
Free keywords
:
-
Abstract
:
A local learning rule is shown to be able to account for the association of images together on the basis of temporal order rather than spatial configuration, as described in single cell recording results published by Miyashita (1988). Possible reasons for requiring such learning are then given in the context of invariant object recognition.
Details
show
hide
Language(s)
:
Dates
:
Date issued:
1996-08
Publication Status
:
Issued
Pages
:
-
Publishing info
:
-
Table of Contents
:
-
Rev. Type
:
-
Identifiers
:
Report Nr.: 37
BibTex Citekey: 1501
Degree
:
-
Event
show
Legal Case
show
Project information
show
Source
show
