Literature DB >> 16079192

Comparing acceleration and speed tuning in macaque MT: physiology and modeling.

N S C Price1, S Ono, M J Mustari, M R Ibbotson.   

Abstract

Studies of individual neurons in area MT have traditionally investigated their sensitivity to constant speeds. We investigated acceleration sensitivity in MT neurons by comparing their responses to constant steps and linear ramps in stimulus speed. Speed ramps constituted constant accelerations and decelerations between 0 and 240 degrees /s. Our results suggest that MT neurons do not have explicit acceleration sensitivity, although speed changes affected their responses in three main ways. First, accelerations typically evoked higher responses than the corresponding deceleration rate at all rates tested. We show that this can be explained by adaptation mechanisms rather than differential processing of positive and negative speed gradients. Second, we inferred a cell's preferred speed from the responses to speed ramps by finding the stimulus speed at the latency-adjusted time when response amplitude peaked. In most cells, the preferred speeds inferred from deceleration were higher than those for accelerations of the same rate or from steps in stimulus speed. Third, neuron responses to speed ramps were not well predicted by the transient or sustained responses to steps in stimulus speed. Based on these findings, we developed a model incorporating adaptation and a neuron's speed tuning that predicted the higher inferred speeds and lower spike rates for deceleration responses compared with acceleration responses. This model did not predict acceleration-specific responses, in accordance with the lack of acceleration sensitivity in the neurons. The outputs of this single-cell model were passed to a population-vector-based model used to estimate stimulus speed and acceleration. We show that such a model can accurately estimate relative speed and acceleration using information from the population of neurons in area MT.

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Year:  2005        PMID: 16079192     DOI: 10.1152/jn.00564.2005

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  22 in total

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Authors:  Yong Gu; Zhixian Cheng; Lihua Yang; Gregory C DeAngelis; Dora E Angelaki
Journal:  Cereb Cortex       Date:  2015-08-18       Impact factor: 5.357

2.  Interactions between speed and contrast tuning in the middle temporal area: implications for the neural code for speed.

Authors:  Bart Krekelberg; Richard J A van Wezel; Thomas D Albright
Journal:  J Neurosci       Date:  2006-08-30       Impact factor: 6.167

Review 3.  Saccades and pursuit: two outcomes of a single sensorimotor process.

Authors:  Jean-Jacques Orban de Xivry; Philippe Lefèvre
Journal:  J Physiol       Date:  2007-08-09       Impact factor: 5.182

4.  Aging affects the neural representation of speed in Macaque area MT.

Authors:  Yun Yang; Jie Zhang; Zhen Liang; Guangxing Li; Yongchang Wang; Yuanye Ma; Yifeng Zhou; Audie G Leventhal
Journal:  Cereb Cortex       Date:  2008-11-26       Impact factor: 5.357

Review 5.  Visuo-motor coordination and internal models for object interception.

Authors:  Myrka Zago; Joseph McIntyre; Patrice Senot; Francesco Lacquaniti
Journal:  Exp Brain Res       Date:  2009-01-13       Impact factor: 1.972

6.  Heading perception depends on time-varying evolution of optic flow.

Authors:  Charlie S Burlingham; David J Heeger
Journal:  Proc Natl Acad Sci U S A       Date:  2020-12-16       Impact factor: 11.205

7.  Aperture extent and stimulus speed affect the perception of visual acceleration.

Authors:  Alexandra S Mueller; Esther G González; Chris McNorgan; Martin J Steinbach; Brian Timney
Journal:  Exp Brain Res       Date:  2016-11-19       Impact factor: 1.972

8.  Response properties of MST parafoveal neurons during smooth pursuit adaptation.

Authors:  Seiji Ono; Michael J Mustari
Journal:  J Neurophysiol       Date:  2016-04-20       Impact factor: 2.714

9.  Effects of saccades on visual processing in primate MSTd.

Authors:  Shaun L Cloherty; Michael J Mustari; Marcello G P Rosa; Michael R Ibbotson
Journal:  Vision Res       Date:  2010-08-21       Impact factor: 1.886

10.  Testing the assumptions underlying fMRI adaptation using intracortical recordings in area MT.

Authors:  Kohitij Kar; Bart Krekelberg
Journal:  Cortex       Date:  2016-01-19       Impact factor: 4.027

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