Abstract
Neurons in area MT (V5) are selective for the direction of visual motion. In addition, many are selective for the motion of complex patterns independent of the orientation of their components, a behavior not seen in earlier visual areas. We show that the responses of MT cells can be captured by a linear-nonlinear model that operates not on the visual stimulus, but on the afferent responses of a population of nonlinear V1 cells. We fit this cascade model to responses of individual MT neurons and show that it robustly predicts the separately measured responses to gratings and plaids. The model captures the full range of pattern motion selectivity found in MT. Cells that signal pattern motion are distinguished by having convergent excitatory input from V1 cells with a wide range of preferred directions, strong motion opponent suppression and a tuned normalization that may reflect suppressive input from the surround of V1 cells.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1421-1431 |
| Number of pages | 11 |
| Journal | Nature Neuroscience |
| Volume | 9 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 2006 |
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ASJC Scopus subject areas
- Neuroscience(all)
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How MT cells analyze the motion of visual patterns. / Rust, Nicole C.; Mante, Valerio; Simoncelli, Eero; Movshon, J. Anthony.
In: Nature Neuroscience, Vol. 9, No. 11, 11.2006, p. 1421-1431.Research output: Contribution to journal › Article
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TY - JOUR
T1 - How MT cells analyze the motion of visual patterns
AU - Rust, Nicole C.
AU - Mante, Valerio
AU - Simoncelli, Eero
AU - Movshon, J. Anthony
PY - 2006/11
Y1 - 2006/11
N2 - Neurons in area MT (V5) are selective for the direction of visual motion. In addition, many are selective for the motion of complex patterns independent of the orientation of their components, a behavior not seen in earlier visual areas. We show that the responses of MT cells can be captured by a linear-nonlinear model that operates not on the visual stimulus, but on the afferent responses of a population of nonlinear V1 cells. We fit this cascade model to responses of individual MT neurons and show that it robustly predicts the separately measured responses to gratings and plaids. The model captures the full range of pattern motion selectivity found in MT. Cells that signal pattern motion are distinguished by having convergent excitatory input from V1 cells with a wide range of preferred directions, strong motion opponent suppression and a tuned normalization that may reflect suppressive input from the surround of V1 cells.
AB - Neurons in area MT (V5) are selective for the direction of visual motion. In addition, many are selective for the motion of complex patterns independent of the orientation of their components, a behavior not seen in earlier visual areas. We show that the responses of MT cells can be captured by a linear-nonlinear model that operates not on the visual stimulus, but on the afferent responses of a population of nonlinear V1 cells. We fit this cascade model to responses of individual MT neurons and show that it robustly predicts the separately measured responses to gratings and plaids. The model captures the full range of pattern motion selectivity found in MT. Cells that signal pattern motion are distinguished by having convergent excitatory input from V1 cells with a wide range of preferred directions, strong motion opponent suppression and a tuned normalization that may reflect suppressive input from the surround of V1 cells.
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U2 - 10.1038/nn1786
DO - 10.1038/nn1786
M3 - Article
C2 - 17041595
AN - SCOPUS:33750463773
VL - 9
SP - 1421
EP - 1431
JO - Nature Neuroscience
JF - Nature Neuroscience
SN - 1097-6256
IS - 11
ER -