Literature DB >> 8867139

Responses in area V4 depend on the spatial relationship between stimulus and attention.

C E Connor1, J L Gallant, D C Preddie, D C Van Essen.   

Abstract

1. We studied the spatial interaction between stimulus and attention in macaque area V4. Monkeys were required to fixate a small spot while continuously attending to a ring-shaped target within a large array of identical rings. Meanwhile, the response of the V4 cell under study was tested by flashing behaviorally irrelevant bar stimuli in the cell's classical receptive field (CRF). The location of the attended ring was varied across four positions surrounding the CRF, and the location of the bar stimulus was varied across five positions spanning the CRF. 2. Response strength depended on two aspects of the spatial relationship between the stimulus driving the cell (the bar) and the position of attention (the target ring). First, for 49% of the cells studied, responses were greater for bar stimuli near the attended ring; i.e., the receptive field profile shifted toward the attentional focus. Second, for 84% of the cells, the overall response level depended on the direction in which attention lay relative to the stimulus in the CRF (e.g., to the left, right, above, or below). 3. This study confirms a key prediction of spatial models of attention, which postulate enhanced processing of all stimuli near the attentional focus. It also introduces the novel finding that responses are influenced by the relative direction of attention. This result indicates that area V4 carries information about the spatial relationship between visual stimuli and attention.

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Mesh:

Year:  1996        PMID: 8867139     DOI: 10.1152/jn.1996.75.3.1306

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  79 in total

1.  A feedback model of attention and context dependence in visual cortical networks.

Authors:  K L Kirkland; G L Gerstein
Journal:  J Comput Neurosci       Date:  1999 Nov-Dec       Impact factor: 1.621

2.  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

3.  The effect of attention on neuronal responses to high and low contrast stimuli.

Authors:  Joonyeol Lee; John H R Maunsell
Journal:  J Neurophysiol       Date:  2010-06-10       Impact factor: 2.714

4.  The role of attention in visual processing.

Authors:  John H R Maunsell; Erik P Cook
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

Review 5.  A common neuronal code for perceptual processes in visual cortex? Comparing choice and attentional correlates in V5/MT.

Authors:  Kristine Krug
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2004-06-29       Impact factor: 6.237

6.  Anticipatory saccade target processing and the presaccadic transfer of visual features.

Authors:  Marc Zirnsak; Ricarda G K Gerhards; Roozbeh Kiani; Markus Lappe; Fred H Hamker
Journal:  J Neurosci       Date:  2011-12-07       Impact factor: 6.167

7.  The representations of reach endpoints in posterior parietal cortex depend on which hand does the reaching.

Authors:  Steve W C Chang; Lawrence H Snyder
Journal:  J Neurophysiol       Date:  2012-02-01       Impact factor: 2.714

8.  Spatial attention improves the quality of population codes in human visual cortex.

Authors:  Sameer Saproo; John T Serences
Journal:  J Neurophysiol       Date:  2010-05-19       Impact factor: 2.714

9.  Attention alters feature space in motion processing.

Authors:  Marc Zirnsak; Fred H Hamker
Journal:  J Neurosci       Date:  2010-05-19       Impact factor: 6.167

10.  Using a compound gain field to compute a reach plan.

Authors:  Steve W C Chang; Charalampos Papadimitriou; Lawrence H Snyder
Journal:  Neuron       Date:  2009-12-10       Impact factor: 17.173

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