Literature DB >> 11567622

The representation of erroneously perceived stimuli in the primary visual cortex.

P R Roelfsema1, H Spekreijse.   

Abstract

In order to attain a correct interpretation of an ambiguous visual stimulus, the brain may have to elaborate on the sensory evidence. Are the neurons that carry the sensory evidence also involved in generating an interpretation? To address this question, we studied the activity of neurons in the primary visual cortex of macaque monkeys involved in a task in which they have to trace a curve mentally, without moving their eyes. On a percentage of trials, the monkeys made errors and traced the wrong curve. Here, we show that these errors are predicted by activity in area V1. Thus, neurons in the primary visual cortex do not only represent sensory events, but also the way in which they are interpreted by the monkey.

Mesh:

Year:  2001        PMID: 11567622     DOI: 10.1016/s0896-6273(01)00408-1

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  19 in total

1.  Subtask sequencing in the primary visual cortex.

Authors:  Pieter R Roelfsema; Paul S Khayat; Henk Spekreijse
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-14       Impact factor: 11.205

2.  Correlates of transsaccadic integration in the primary visual cortex of the monkey.

Authors:  Paul S Khayat; Henk Spekreijse; Pieter R Roelfsema
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-10       Impact factor: 11.205

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.  A computational model of fMRI activity in the intraparietal sulcus that supports visual working memory.

Authors:  Dražen Domijan
Journal:  Cogn Affect Behav Neurosci       Date:  2011-12       Impact factor: 3.282

5.  Perceptual training continuously refines neuronal population codes in primary visual cortex.

Authors:  Yin Yan; Malte J Rasch; Minggui Chen; Xiaoping Xiang; Min Huang; Si Wu; Wu Li
Journal:  Nat Neurosci       Date:  2014-09-07       Impact factor: 24.884

Review 6.  Feedforward and feedback sources of choice probability in neural population responses.

Authors:  Bruce G Cumming; Hendrikje Nienborg
Journal:  Curr Opin Neurobiol       Date:  2016-02-27       Impact factor: 6.627

Review 7.  Control of synaptic plasticity in deep cortical networks.

Authors:  Pieter R Roelfsema; Anthony Holtmaat
Journal:  Nat Rev Neurosci       Date:  2018-02-16       Impact factor: 34.870

Review 8.  Deficits in attentional control: cholinergic mechanisms and circuitry-based treatment approaches.

Authors:  Martin Sarter; Giovanna Paolone
Journal:  Behav Neurosci       Date:  2011-12       Impact factor: 1.912

9.  Simultaneous selection by object-based attention in visual and frontal cortex.

Authors:  Arezoo Pooresmaeili; Jasper Poort; Pieter R Roelfsema
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-07       Impact factor: 11.205

10.  Attention improves performance primarily by reducing interneuronal correlations.

Authors:  Marlene R Cohen; John H R Maunsell
Journal:  Nat Neurosci       Date:  2009-11-15       Impact factor: 24.884

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