scholarly journals A canonical computational model of cortical area V2

2019 ◽  
Vol 19 (10) ◽  
pp. 14b
Author(s):  
Timothy D Oleskiw ◽  
Eero P Simoncelli
Neuroreport ◽  
2000 ◽  
Vol 11 (5) ◽  
pp. 1039-1044 ◽  
Author(s):  
Lucia M. Vaina ◽  
Sergei Soloviev ◽  
Don C. Bienfang ◽  
Alan Cowey

2005 ◽  
Vol 488 (3) ◽  
pp. 320-330 ◽  
Author(s):  
John C. Anderson ◽  
Kevan A.C. Martin
Keyword(s):  

Nature ◽  
2003 ◽  
Vol 421 (6922) ◽  
pp. 535-539 ◽  
Author(s):  
Youping Xiao ◽  
Yi Wang ◽  
Daniel J. Felleman
Keyword(s):  

2001 ◽  
Vol 443 (1) ◽  
pp. 56-70 ◽  
Author(s):  
John C. Anderson ◽  
Kevan A.C. Martin
Keyword(s):  

1996 ◽  
Vol 13 (1) ◽  
pp. 161-172 ◽  
Author(s):  
Karl R. Gegenfurtner ◽  
Daniel C. Kiper ◽  
Suzanne B. Fenstemaker

AbstractWe investigated the representation of color in cortical area V2 of macaque monkeys, and the association of color with other stimulus attributes. We measured the selectivity of individual V2 neurons for color, motion, and form. Most neurons in V2 were orientation selective, about half of them were selective for color, and a minority of cells (about 20%) were selective for size or direction. We correlated these physiological measurements with the anatomical location of the cells with respect to the cytochrome oxidase (CO) compartments of area V2. There was a tendency for color-selective cells to be found more frequently in the thin stripes, but color-selective cells also occurred frequently in thick stripes and inter-stripes. We found no difference in the degree of color selectivity between the different CO compartments. Furthermore, there was no negative correlation between color selectivity and selectivity for other stimulus attributes. We found many cells capable of encoding information along more than one stimulus dimension, regardless of their location with respect to the CO compartments. We suggest that area V2 plays an important role in integrating information about color, motion, and form. By this integration of stimulus attributes a cue-invariant representation of the visual world might be achieved.


2000 ◽  
Vol 84 (5) ◽  
pp. 2458-2464 ◽  
Author(s):  
Terence D. Sanger ◽  
Michael M. Merzenich

We present a new computational model for the development of task-specific focal dystonia. The purpose of the model is to explain how altered sensory representations can lead to abnormal motor behavior. Dystonia is described as the result of excessive gain through a sensorimotor loop. The gain is determined in part by the sensory cortical area devoted to each motor function, and behaviors that lead to abnormal increases in sensory cortical area are predicted to lead to dystonia. Properties of dystonia including muscular co-contraction, overflow movements, and task specificity are predicted by properties of a linear approximation to the loop transformation. We provide simulations of several different mechanisms that can cause the gain to exceed 1 and the motor activity to become sustained and uncontrolled. The model predicts that normal plasticity mechanisms may contribute to worsening of symptoms over time.


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