Literature DB >> 24980501

Shape perception simultaneously up- and downregulates neural activity in the primary visual cortex.

Peter Kok1, Floris P de Lange2.   

Abstract

An essential part of visual perception is the grouping of local elements (such as edges and lines) into coherent shapes. Previous studies have shown that this grouping process modulates neural activity in the primary visual cortex (V1) that is signaling the local elements [1-4]. However, the nature of this modulation is controversial. Some studies find that shape perception reduces neural activity in V1 [2, 5, 6], while others report increased V1 activity during shape perception [1, 3, 4, 7-10]. Neurocomputational theories that cast perception as a generative process [11-13] propose that feedback connections carry predictions (i.e., the generative model), while feedforward connections signal the mismatch between top-down predictions and bottom-up inputs. Within this framework, the effect of feedback on early visual cortex may be either enhancing or suppressive, depending on whether the feedback signal is met by congruent bottom-up input. Here, we tested this hypothesis by quantifying the spatial profile of neural activity in V1 during the perception of illusory shapes using population receptive field mapping. We find that shape perception concurrently increases neural activity in regions of V1 that have a receptive field on the shape but do not receive bottom-up input and suppresses activity in regions of V1 that receive bottom-up input that is predicted by the shape. These effects were not modulated by task requirements. Together, these findings suggest that shape perception changes lower-order sensory representations in a highly specific and automatic manner, in line with theories that cast perception in terms of hierarchical generative models.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2014        PMID: 24980501     DOI: 10.1016/j.cub.2014.05.042

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  53 in total

1.  Position shifts of fMRI-based population receptive fields in human visual cortex induced by Ponzo illusion.

Authors:  Dongjun He; Ce Mo; Yizhou Wang; Fang Fang
Journal:  Exp Brain Res       Date:  2015-08-28       Impact factor: 1.972

2.  Figure-Ground Modulation in the Human Lateral Geniculate Nucleus Is Distinguishable from Top-Down Attention.

Authors:  Sonia Poltoratski; Alexander Maier; Allen T Newton; Frank Tong
Journal:  Curr Biol       Date:  2019-06-06       Impact factor: 10.834

3.  Behavioral oscillation in priming: competing perceptual predictions conveyed in alternating theta-band rhythms.

Authors:  Yan Huang; Lin Chen; Huan Luo
Journal:  J Neurosci       Date:  2015-02-11       Impact factor: 6.167

4.  Expectation Suppression Dampens Sensory Representations of Predicted Stimuli.

Authors:  Kevin S Walsh; David P McGovern
Journal:  J Neurosci       Date:  2018-12-12       Impact factor: 6.167

5.  A Generic Mechanism for Perceptual Organization in the Parietal Cortex.

Authors:  Pablo R Grassi; Natalia Zaretskaya; Andreas Bartels
Journal:  J Neurosci       Date:  2018-07-13       Impact factor: 6.167

6.  Feedback contribution to surface motion perception in the human early visual cortex.

Authors:  Ingo Marquardt; Peter De Weerd; Marian Schneider; Omer Faruk Gulban; Dimo Ivanov; Yawen Wang; Kâmil Uludağ
Journal:  Elife       Date:  2020-06-04       Impact factor: 8.140

7.  Resolving the Spatial Profile of Figure Enhancement in Human V1 through Population Receptive Field Modeling.

Authors:  Sonia Poltoratski; Frank Tong
Journal:  J Neurosci       Date:  2020-03-05       Impact factor: 6.167

8.  Object Selection by Automatic Spreading of Top-Down Attentional Signals in V1.

Authors:  Matthias Ekman; Pieter R Roelfsema; Floris P de Lange
Journal:  J Neurosci       Date:  2020-10-21       Impact factor: 6.167

Review 9.  A roadmap to integrate astrocytes into Systems Neuroscience.

Authors:  Ksenia V Kastanenka; Rubén Moreno-Bote; Maurizio De Pittà; Gertrudis Perea; Abel Eraso-Pichot; Roser Masgrau; Kira E Poskanzer; Elena Galea
Journal:  Glia       Date:  2019-05-06       Impact factor: 7.452

Review 10.  Visual attention mitigates information loss in small- and large-scale neural codes.

Authors:  Thomas C Sprague; Sameer Saproo; John T Serences
Journal:  Trends Cogn Sci       Date:  2015-03-11       Impact factor: 20.229

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