Literature DB >> 19909811

Interactions of motion and form in visual cortex - A neural model.

Cornelia Beck1, Heiko Neumann.   

Abstract

In this work, we present a neural model simulating parts of the motion and the form pathway of the visual cortex. It is shown how the visual features motion, disparity, and form that are represented in a distributed way in areas V1, V2, and MT mutually interact at several levels. Thus, their information is shared without the need of explicit neural representation for each combination of features. In particular, we address the issue of 2D extrinsic motion cues generated at occlusions that have to be treated differently than 2D intrinsic motion features of the same object. We suggest that here information of the form channel, namely the indication of a junction, is necessary to achieve a correct percept in the motion pathway. Furthermore, we investigated the question of how a percept of either pattern or component motion is generated in a scenario of moving bars that only differs in the presence or absence of occlusions, like in the chopstick and the barberpole display. We propose different roles for various kinds of MT cells that are involved in the interactions with the form pathway, simulating purely integrative cells tuned to motion and to motion and stereo, but also contrast cells responding strongly when motion in the surround is in the opposite direction. The model simulations reproduce psychophysical and neurophysiological results of the chopstick as well as of the barberpole illusion. The temporal course of the dominant motion percept generated by the iterative interplay between motion and form pathway is in line with data of ocular following responses in primates and humans. 2009 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 19909811     DOI: 10.1016/j.jphysparis.2009.11.005

Source DB:  PubMed          Journal:  J Physiol Paris        ISSN: 0928-4257


  8 in total

1.  Motion-form interactions beyond the motion integration level: evidence for interactions between orientation and optic flow signals.

Authors:  Andrea Pavan; Rosilari Bellacosa Marotti; George Mather
Journal:  J Vis       Date:  2013-05-31       Impact factor: 2.240

2.  Perceptual separation of transparent motion components: the interaction of motion, luminance and shape cues.

Authors:  Andrew Isaac Meso; Szonya Durant; Johannes M Zanker
Journal:  Exp Brain Res       Date:  2013-07-06       Impact factor: 1.972

3.  Construction and evaluation of an integrated dynamical model of visual motion perception.

Authors:  Émilien Tlapale; Barbara Anne Dosher; Zhong-Lin Lu
Journal:  Neural Netw       Date:  2015-03-28

4.  Combining feature selection and integration--a neural model for MT motion selectivity.

Authors:  Cornelia Beck; Heiko Neumann
Journal:  PLoS One       Date:  2011-07-21       Impact factor: 3.240

5.  A neuromorphic architecture for object recognition and motion anticipation using burst-STDP.

Authors:  Andrew Nere; Umberto Olcese; David Balduzzi; Giulio Tononi
Journal:  PLoS One       Date:  2012-05-15       Impact factor: 3.240

6.  Hierarchical representation of shapes in visual cortex-from localized features to figural shape segregation.

Authors:  Stephan Tschechne; Heiko Neumann
Journal:  Front Comput Neurosci       Date:  2014-08-11       Impact factor: 2.380

7.  The Role of Bottom-Up and Top-Down Cortical Interactions in Adaptation to Natural Scene Statistics.

Authors:  Selam W Habtegiorgis; Christian Jarvers; Katharina Rifai; Heiko Neumann; Siegfried Wahl
Journal:  Front Neural Circuits       Date:  2019-02-13       Impact factor: 3.492

Review 8.  Investigating the Interaction Between Form and Motion Processing: A Review of Basic Research and Clinical Evidence.

Authors:  Rita Donato; Andrea Pavan; Gianluca Campana
Journal:  Front Psychol       Date:  2020-10-30
  8 in total

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