Literature DB >> 20861375

Separable codes for attention and luminance contrast in the primary visual cortex.

Arezoo Pooresmaeili1, Jasper Poort, Alexander Thiele, Pieter R Roelfsema.   

Abstract

The visual system encodes the features of visual stimuli as well as their behavioral relevance. Stimuli with a high luminance contrast evoke more activity in the visual cortex than stimuli with a low contrast. At the same time, attended stimuli evoke more activity than nonattended stimuli. There is a debate about how visual features and attention jointly determine neuronal activity in the visual cortex. Some studies suggested that attention increases apparent contrast (Reynolds et al., 2000), others that attention amplifies responses by a constant factor (Williford and Maunsell, 2006), and yet others that attention and contrast have largely additive effects (Buracas and Boynton, 2007; Thiele et al., 2009). The influence of attention on contrast sensitivity differs between neurons, raising the possibility that attention and contrast could be coded conjointly in a population of neurons. Here we investigate this possibility by recording neuronal activity at multiple sites in the primary visual cortex of macaque monkeys using multielectrode recording techniques and support vector machines to decode attended stimuli as well as stimulus contrast. We find that many, but not all, V1 neurons are influenced by attention and that the effects of attention and contrast are additive on average. Stimulus contrast can be decoded from neuronal responses not strongly modulated by attention, whereas the attended stimulus can be decoded as the difference in activity of cells that are influenced by attention and cells that are not. The success of the approach suggests that visual attention and stimulus contrast are represented by largely separable codes.

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Mesh:

Year:  2010        PMID: 20861375      PMCID: PMC6633579          DOI: 10.1523/JNEUROSCI.1388-10.2010

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  30 in total

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2.  Effect of feature-selective attention on neuronal responses in macaque area MT.

Authors:  X Chen; K-P Hoffmann; T D Albright; A Thiele
Journal:  J Neurophysiol       Date:  2011-12-14       Impact factor: 2.714

3.  Neuronal activity in the visual cortex reveals the temporal order of cognitive operations.

Authors:  Sancho I Moro; Michiel Tolboom; Paul S Khayat; Pieter R Roelfsema
Journal:  J Neurosci       Date:  2010-12-01       Impact factor: 6.167

4.  Decoding working memory of stimulus contrast in early visual cortex.

Authors:  Yue Xing; Tim Ledgeway; Paul V McGraw; Denis Schluppeck
Journal:  J Neurosci       Date:  2013-06-19       Impact factor: 6.167

5.  Disambiguating the roles of area V1 and the lateral occipital complex (LOC) in contour integration.

Authors:  Marina Shpaner; Sophie Molholm; Emmajane Forde; John J Foxe
Journal:  Neuroimage       Date:  2012-11-28       Impact factor: 6.556

6.  Sensory gain outperforms efficient readout mechanisms in predicting attention-related improvements in behavior.

Authors:  Sirawaj Itthipuripat; Edward F Ester; Sean Deering; John T Serences
Journal:  J Neurosci       Date:  2014-10-01       Impact factor: 6.167

7.  The coupling of cerebral blood flow and oxygen metabolism with brain activation is similar for simple and complex stimuli in human primary visual cortex.

Authors:  Valerie E M Griffeth; Aaron B Simon; Richard B Buxton
Journal:  Neuroimage       Date:  2014-10-13       Impact factor: 6.556

8.  Low rank mechanisms underlying flexible visual representations.

Authors:  Douglas A Ruff; Cheng Xue; Lily E Kramer; Faisal Baqai; Marlene R Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-24       Impact factor: 11.205

9.  Inverted Encoding Models of Human Population Response Conflate Noise and Neural Tuning Width.

Authors:  Taosheng Liu; Dylan Cable; Justin L Gardner
Journal:  J Neurosci       Date:  2017-11-22       Impact factor: 6.167

Review 10.  Cortical state and attention.

Authors:  Kenneth D Harris; Alexander Thiele
Journal:  Nat Rev Neurosci       Date:  2011-08-10       Impact factor: 34.870

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