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

Nobuhiko Wagatsuma; Rüdiger von der Heydt; Ernst Niebur

doi:10.1007/978-3-319-46687-3_40

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

Nobuhiko Wagatsuma, Rüdiger von der Heydt, Ernst Niebur

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings
Editors	Kenji Doya, Kazushi Ikeda, Minho Lee, Akira Hirose, Seiichi Ozawa, Derong Liu
Publisher	Springer Verlag
Pages	359-366
Number of pages	8
ISBN (Print)	9783319466866
DOIs	https://doi.org/10.1007/978-3-319-46687-3_40
State	Published - 2016
Event	23rd International Conference on Neural Information Processing, ICONIP 2016 - Kyoto, Japan Duration: Oct 16 2016 → Oct 21 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9947 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	23rd International Conference on Neural Information Processing, ICONIP 2016
Country/Territory	Japan
City	Kyoto
Period	10/16/16 → 10/21/16

Keywords

Border-ownership
Modulatory input
Selective attention
Spike synchrony

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-46687-3_40

Cite this

Wagatsuma, N., von der Heydt, R., & Niebur, E. (2016). Modeling attention-induced reduction of spike synchrony in the visual cortex. In K. Doya, K. Ikeda, M. Lee, A. Hirose, S. Ozawa, & D. Liu (Eds.), Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings (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

Modeling attention-induced reduction of spike synchrony in the visual cortex. / Wagatsuma, Nobuhiko; von der Heydt, Rüdiger ; Niebur, Ernst.
Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. ed. / Kenji Doya; Kazushi Ikeda; Minho Lee; Akira Hirose; Seiichi Ozawa; Derong Liu. Springer Verlag, 2016. p. 359-366 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9947 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wagatsuma, N, von der Heydt, R & Niebur, E 2016, Modeling attention-induced reduction of spike synchrony in the visual cortex. in K Doya, K Ikeda, M Lee, A Hirose, S Ozawa & D Liu (eds), Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9947 LNCS, Springer Verlag, pp. 359-366, 23rd International Conference on Neural Information Processing, ICONIP 2016, Kyoto, Japan, 10/16/16. https://doi.org/10.1007/978-3-319-46687-3_40

Wagatsuma N, von der Heydt R , Niebur E. Modeling attention-induced reduction of spike synchrony in the visual cortex. In Doya K, Ikeda K, Lee M, Hirose A, Ozawa S, Liu D, editors, Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. Springer Verlag. 2016. p. 359-366. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-46687-3_40

Wagatsuma, Nobuhiko ; von der Heydt, Rüdiger ; Niebur, Ernst. / Modeling attention-induced reduction of spike synchrony in the visual cortex. Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. editor / Kenji Doya ; Kazushi Ikeda ; Minho Lee ; Akira Hirose ; Seiichi Ozawa ; Derong Liu. Springer Verlag, 2016. pp. 359-366 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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N2 - 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.

AB - 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.

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

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