Literature DB >> 8296473

An oscillation-based model for the neuronal basis of attention.

E Niebur1, C Koch, C Rosin.   

Abstract

We propose a model for the neuronal implementation of selective visual attention based on the temporal structure of neuronal activity. In particular, we set out to explain the electrophysiological data from areas V4 and IT in monkey cortex of Moran and Desimone [(1985) Science, 229, 782-784] using the "temporal tagging" hypothesis of Crick and Koch [(1990a) Cold Spring Harbor Symposiums in Quantitative Biology, LV, 953-962; (1990b) Seminars in the neurosciences (pp. 1-36)]. Neurons in primary visual cortex respond to visual stimuli with a Poisson distributed spike train with an appropriate, stimulus-dependent mean firing rate. The firing rate of neurons whose receptive fields overlap with the "focus of attention" is modulated with a periodic function in the 40 Hz range, such that their mean firing rate is identical to the mean firing rate of neurons in "non-attended" areas. This modulation is detected by inhibitory interneurons in V4 and is used to suppress the response of V4 cells associated with non-attended visual stimuli. Using very simple single-cell models, we obtain quantitative agreement with Moran and Desimone's (1985) experiments.

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Year:  1993        PMID: 8296473     DOI: 10.1016/0042-6989(93)90236-p

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  31 in total

1.  Competitive mechanisms subserve attention in macaque areas V2 and V4.

Authors:  J H Reynolds; L Chelazzi; R Desimone
Journal:  J Neurosci       Date:  1999-03-01       Impact factor: 6.167

2.  Modeling of automatic capture and focusing of visual attention.

Authors:  Teuvo Kohonen
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-09       Impact factor: 11.205

Review 3.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

4.  Generation of synthetic spike trains with defined pairwise correlations.

Authors:  Ernst Niebur
Journal:  Neural Comput       Date:  2007-07       Impact factor: 2.026

5.  Temporal tagging of attended objects.

Authors:  Ernst Niebur
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-24       Impact factor: 11.205

6.  A generalized linear integrate-and-fire neural model produces diverse spiking behaviors.

Authors:  Stefan Mihalaş; Ernst Niebur
Journal:  Neural Comput       Date:  2009-03       Impact factor: 2.026

7.  Gamma oscillations mediate stimulus competition and attentional selection in a cortical network model.

Authors:  Christoph Börgers; Steven Epstein; Nancy J Kopell
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-12       Impact factor: 11.205

8.  A model for the neuronal implementation of selective visual attention based on temporal correlation among neurons.

Authors:  E Niebur; C Koch
Journal:  J Comput Neurosci       Date:  1994-06       Impact factor: 1.621

9.  Laminar differences in gamma and alpha coherence in the ventral stream.

Authors:  Elizabeth A Buffalo; Pascal Fries; Rogier Landman; Timothy J Buschman; Robert Desimone
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-20       Impact factor: 11.205

10.  Synchrony and the binding problem in macaque visual cortex.

Authors:  Yi Dong; Stefan Mihalas; Fangtu Qiu; Rüdiger von der Heydt; Ernst Niebur
Journal:  J Vis       Date:  2008-11-11       Impact factor: 2.240

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