Literature DB >> 8433131

Speed and direction selectivity of macaque middle temporal neurons.

L Lagae1, S Raiguel, G A Orban.   

Abstract

1. We tested quantitatively the responses of 147 middle temporal (MT) cells to light and dark bars moving at different speeds ranging over a 1,000-fold range (0.5-512 deg/s). 2. We derived the following quantities from the speed-response (SR) curves obtained for opposite directions of motion. Speed selectivity was characterized by the maximum response, optimum speed, upper cutoff speed, response to slow movement, and tuning width. Direction selectivity was characterized by the direction index (DI) averaged over speeds yielding significant responses (MDI) and by the direction index at optimal speed (PDI). 3. There was an excellent correlation between speed characteristics for light and dark bars. These correlations were stronger than the correlations between direction indexes. The strongest correlations were obtained for maximum response and upper cutoff. 4. SR curves were classified into three groups: low pass (25%), tuned (43%), and broadband (28%), leaving 4% unclassified. 5. In the majority (75%) of MT cells, there was an agreement between the typology of speed selectivity for light and dark bars. Cells were classified as tuned (33%), low pass (22%), broadband (19%), and mixed (22%), leaving 4% unclassified. In addition to differences in speed characteristics, these groups also differed in response level, direction selectivity, and distribution of preferred directions. 6. For tuned cells, there was a very tight correlation of most speed characteristics for light and dark bars. 7. Direction selectivity depended on stimulus speed in most neurons, yielding a tuned average speed-DI curve. 8. Speed characteristics, proportions of speed selectivity types, and direction selectivity indexes showed little dependence on laminar position. 9. Speed characteristics and direction selectivity indexes were not dependent on eccentricity. Proportion of speed selectivity types however, changed dramatically with eccentricity: low-pass cells dominated foveally, tuned cells parafoveally, and broadband cells peripherally. 10. There were also small eccentricity effects on the range of optimal speeds shown by tuned cells and on the speed at which direction selectivity decreases in the slow speed range.

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Year:  1993        PMID: 8433131     DOI: 10.1152/jn.1993.69.1.19

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


  44 in total

1.  Visual motion analysis for pursuit eye movements in area MT of macaque monkeys.

Authors:  S G Lisberger; J A Movshon
Journal:  J Neurosci       Date:  1999-03-15       Impact factor: 6.167

2.  The timing of response onset and offset in macaque visual neurons.

Authors:  Wyeth Bair; James R Cavanaugh; Matthew A Smith; J Anthony Movshon
Journal:  J Neurosci       Date:  2002-04-15       Impact factor: 6.167

3.  Relationship between motion VEP and perceived velocity of gratings: effects of stimulus speed and motion adaptation.

Authors:  Rolf Müller; Gunder Bochmann; Mark W Greenlee; Edith Göpfert
Journal:  Doc Ophthalmol       Date:  2003-09       Impact factor: 2.379

4.  The influence of sustained selective attention on stimulus selectivity in macaque visual area MT.

Authors:  Detlef Wegener; Winrich A Freiwald; Andreas K Kreiter
Journal:  J Neurosci       Date:  2004-07-07       Impact factor: 6.167

5.  Correlation between speed perception and neural activity in the middle temporal visual area.

Authors:  Jing Liu; William T Newsome
Journal:  J Neurosci       Date:  2005-01-19       Impact factor: 6.167

6.  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

7.  Cortical pooling algorithms for judging global motion direction.

Authors:  Ben S Webb; Timothy Ledgeway; Paul V McGraw
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-20       Impact factor: 11.205

8.  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 9.  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

10.  Common rules guide comparisons of speed and direction of motion in the dorsolateral prefrontal cortex.

Authors:  Cory R Hussar; Tatiana Pasternak
Journal:  J Neurosci       Date:  2013-01-16       Impact factor: 6.167

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