Understanding object feature binding through experimentation as a precursor to modelling

Carolyn Mair, Martin Shepperd, C. Kirsopp, R. Premraj

Research output: Chapter in Book/Report/Published conference proceedingChapterpeer-review

17 Downloads (Pure)


In order to explore underlying brain mechanisms and to further understand how and where object feature binding occurs, psychophysical data are analysed and will be modelled using an attractor network. This paper describes psychophysical work and an outline of the proposed model. A rapid serial visual processing paradigm with a post-cue response task was used in three experimental conditions: spatial, temporal and spatio-temporal. Using a ?staircase? procedure, stimulus onset asynchrony for each observer for each condition was set in practice trails to achieve textbackslashtexttttextbackslashchar12650cue. In future work, the model could be lesioned so that neuropsychological phenomena might be exhibited. In such a way, the mechanisms underlying object feature binding might be clarified.
Original languageEnglish
Title of host publication8th Neural Computation and Psychology Workshop, Connectionist Models of Cognition and Perception. Progress in Neural Processing, II (15).
EditorsH. Bowman, C. Labiouise
Place of PublicationUK
PublisherWorld Scientific
Number of pages11
Publication statusPublished - 2004
Externally publishedYes

Publication series

NameProgress in Neural Processing
PublisherWorld Scientific


Dive into the research topics of 'Understanding object feature binding through experimentation as a precursor to modelling'. Together they form a unique fingerprint.

Cite this