Algorithms for image database navigation and tuning of object selective neurons in the non-human primate

Sarah R. Allred, Yan Liu, Bharathi Jagadeesh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Algorithms for navigation of image databases and tuning object selective neurons in the non-human primate were designed. Neural response similarity was correlated with image similarity, which was judged by both algorithms. The similarity among effective images was found to be greater than the similarity between effective and ineffective images using the algorithms. The algorithms returned similarity values for image pairs that were correlated with selectivity of the neurons that putatively underlie object perception.

Original languageEnglish (US)
Title of host publicationProceedings - 1st Symposium on Applied Perception in Graphics and Visualization, APGV 2004
PublisherAssociation for Computing Machinery
Pages161
Number of pages1
ISBN (Print)1581139144, 9781581139143
DOIs
StatePublished - 2004
Externally publishedYes
EventProceedings - 1st Symposium on Applied Perception in Graphics and Visualization, APGV 2004 - Los Angeles, CA, United States
Duration: Aug 7 2004Aug 8 2004

Publication series

NameProceedings - 1st Symposium on Applied Perception in Graphics and Visualization, APGV 2004

Other

OtherProceedings - 1st Symposium on Applied Perception in Graphics and Visualization, APGV 2004
Country/TerritoryUnited States
CityLos Angeles, CA
Period8/7/048/8/04

All Science Journal Classification (ASJC) codes

  • General Engineering

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