English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Spatio-temporal influences at the neural level of object recognition

Wallis, G. (1998). Spatio-temporal influences at the neural level of object recognition. Network: Computation in Neural Systems, 9(2), 265-278. doi:10.1088/0954-898X_9_2_007.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-E879-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-C7B7-C
Genre: Journal Article

Files

show Files

Locators

show
hide
Description:
-

Creators

show
hide
 Creators:
Wallis, GM1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: In late 1988, Miyashita published work reporting recordings of single cells in the inferotemporal cortex of the macaque monkey (Miyashita 1988 Nature 335 817-20). He described the responses of neurons to a sequence of random fractal pattern images, and how many of the neurons tested were seen to respond strongly to a subset of the images on the basis of sequence presentation order, i.e. appearance in time, rather than their spatial similarity. In this work, I describe a local, Hebb-like learning rule which in conjunction with a simple feedforward neural architecture is capable of replicating the type of temporal-order association apparent in the cells from which he made recordings. The paper also advances reasons for requiring such learning by describing its possible role in establishing transformation invariant representations of objects.

Details

show
hide
Language(s):
 Dates: 1998-05
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 267
DOI: 10.1088/0954-898X_9_2_007
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Network: Computation in Neural Systems
  Other : Netw.-Comput. Neural Syst.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Bristol : IOP Pub.
Pages: - Volume / Issue: 9 (2) Sequence Number: - Start / End Page: 265 - 278 Identifier: ISSN: 0954-898X
CoNE: https://pure.mpg.de/cone/journals/resource/954925576018