Literature DB >> 15056706

Integration of Contour and Terminator Signals in Visual Area MT of Alert Macaque.

Christopher C Pack1, Andrew J Gartland, Richard T Born.   

Abstract

The integration of visual information is a critical task that is performed by neurons in the extrastriate cortex of the primate brain. For motion signals, integration is complicated by the geometry of the visual world, which renders some velocity measurements ambiguous and others incorrect. The ambiguity arises because neurons in the early stages of visual processing have small receptive fields, which can only recover the component of motion perpendicular to the orientation of a contour (the aperture problem). Unambiguous motion signals are located at end points and corners, which are referred to as terminators. However, when an object moves behind an occluding surface, motion measurements made at the terminators formed by the intersection of the object and the occluder are generally not consistent with the direction of object motion. To study how cortical neurons integrate these different motion cues, we used variations on the classic "barber pole" stimulus and measured the responses of neurons in the middle temporal area (MT or V5) of extrastriate cortex of alert macaque monkeys. Our results show that MT neurons are more strongly influenced by the unambiguous motion signals generated by terminators than to the ambiguous signals generated by contours. Furthermore, these neurons respond better to terminators that are intrinsic to a moving object than to those that are accidents of occlusion. V1 neurons show similar response patterns to local cues (contours and terminators), but for large stimuli, they do not reflect the global motion direction computed by MT neurons. These observations are consistent with psychophysical findings that show that our perception of moving objects often depends on the motion of terminators.

Entities:  

Mesh:

Year:  2004        PMID: 15056706      PMCID: PMC6730032          DOI: 10.1523/JNEUROSCI.4387-03.2004

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


  24 in total

1.  Motion-based prediction is sufficient to solve the aperture problem.

Authors:  Laurent U Perrinet; Guillaume S Masson
Journal:  Neural Comput       Date:  2012-06-26       Impact factor: 2.026

2.  The role of V1 surround suppression in MT motion integration.

Authors:  James M G Tsui; J Nicholas Hunter; Richard T Born; Christopher C Pack
Journal:  J Neurophysiol       Date:  2010-03-24       Impact factor: 2.714

3.  Binocular integration of pattern motion signals by MT neurons and by human observers.

Authors:  Chris Tailby; Najib J Majaj; J Anthony Movshon
Journal:  J Neurosci       Date:  2010-05-26       Impact factor: 6.167

4.  Motion integration by neurons in macaque MT is local, not global.

Authors:  Najib J Majaj; Matteo Carandini; J Anthony Movshon
Journal:  J Neurosci       Date:  2007-01-10       Impact factor: 6.167

5.  Adaptive surround modulation in cortical area MT.

Authors:  Xin Huang; Thomas D Albright; Gene R Stoner
Journal:  Neuron       Date:  2007-03-01       Impact factor: 17.173

6.  Stimulus dependency and mechanisms of surround modulation in cortical area MT.

Authors:  Xin Huang; Thomas D Albright; Gene R Stoner
Journal:  J Neurosci       Date:  2008-12-17       Impact factor: 6.167

7.  The tactile integration of local motion cues is analogous to its visual counterpart.

Authors:  Y C Pei; S S Hsiao; S J Bensmaia
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-04       Impact factor: 11.205

8.  Joint tuning for direction of motion and binocular disparity in macaque MT is largely separable.

Authors:  Alexandra Smolyanskaya; Douglas A Ruff; Richard T Born
Journal:  J Neurophysiol       Date:  2013-10-02       Impact factor: 2.714

9.  Going with the Flow: The Neural Mechanisms Underlying Illusions of Complex-Flow Motion.

Authors:  Junxiang Luo; Keyan He; Ian Max Andolina; Xiaohong Li; Jiapeng Yin; Zheyuan Chen; Yong Gu; Wei Wang
Journal:  J Neurosci       Date:  2019-02-18       Impact factor: 6.167

Review 10.  Velocity computation in the primate visual system.

Authors:  David C Bradley; Manu S Goyal
Journal:  Nat Rev Neurosci       Date:  2008-09       Impact factor: 34.870

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