Modeling attention-induced reduction of spike synchrony in the visual cortex

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

Abstract

The mean firing rate of a border-ownership selective (BOS) neuron encodes where a foreground figure relative to its classical receptive field. Physiological experiments have demonstrated that top-down attention increases firing rates and decreases spike synchrony between them. To elucidate mechanisms of attentional modulation on rates and synchrony of BOS neurons, we developed a spiking neuron network model: BOS neurons receive synaptic input which reflects visual input. The synaptic input strength is modulated multiplicatively by the activity of Grouping neurons whose activity represents the object’s location and mediates top-down attentional projection to BOS neurons. Model simulations agree with experimental findings, showing that attention to an object increases the firing rates of BOS neurons representing it while decreasing spike synchrony between pairs of such neurons. Our results suggest that top-down attention multiplicatively emphasizes synaptic current due to bottom-up visual inputs.

Original languageEnglish (US)
Title of host publicationNeural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings
PublisherSpringer Verlag
Pages359-366
Number of pages8
Volume9947 LNCS
ISBN (Print)9783319466866
DOIs
Publication statusPublished - 2016
Event23rd International Conference on Neural Information Processing, ICONIP 2016 - Kyoto, Japan
Duration: Oct 16 2016Oct 21 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9947 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other23rd International Conference on Neural Information Processing, ICONIP 2016
CountryJapan
CityKyoto
Period10/16/1610/21/16

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Keywords

  • Border-ownership
  • Modulatory input
  • Selective attention
  • Spike synchrony

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Wagatsuma, N., Von Der Heydt, J. R., & Niebur, E. (2016). Modeling attention-induced reduction of spike synchrony in the visual cortex. In Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings (Vol. 9947 LNCS, pp. 359-366). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9947 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46687-3_40