Lateral interactions in primary visual cortex: a model bridging physiology and psychophysics

Science ◽  
1995 ◽  
Vol 269 (5232) ◽  
pp. 1877-1880 ◽  
Author(s):  
M Stemmler ◽  
M Usher ◽  
E Niebur
Perception ◽  
1997 ◽  
Vol 26 (1_suppl) ◽  
pp. 87-87
Author(s):  
J A Bednar ◽  
R Miikkulainen

RF-LISSOM, a self-organising model of laterally connected orientation maps in the primary visual cortex, was used to study the psychological phenomenon known as the tilt aftereffect. The model allows observation of activation and connection patterns between large numbers of neurons simultaneously, making it possible to relate higher-level phenomena to low-level events, which is difficult to do experimentally. In RF-LISSOM, the same self-organising processes that are responsible for the development of the orientation map and its lateral connections are shown to result in tilt aftereffects over short time scales in the adult. The results give computational support for the idea that direct tilt aftereffects arise from adaptive lateral interactions between feature detectors, as has long been surmised. They also suggest that indirect effects could result from the conservation of synaptic resources during this process. The model thus provides a unified computational explanation of self-organisation and both direct and indirect tilt aftereffects in the primary visual cortex.


2017 ◽  
Vol 114 (32) ◽  
pp. 8637-8642 ◽  
Author(s):  
Hualou Liang ◽  
Xiajing Gong ◽  
Minggui Chen ◽  
Yin Yan ◽  
Wu Li ◽  
...  

Perceptual grouping of line segments into object contours has been thought to be mediated, in part, by long-range horizontal connectivity intrinsic to the primary visual cortex (V1), with a contribution by top-down feedback projections. To dissect the contributions of intraareal and interareal connections during contour integration, we applied conditional Granger causality analysis to assess directional influences among neural signals simultaneously recorded from visual cortical areas V1 and V4 of monkeys performing a contour detection task. Our results showed that discounting the influences from V4 markedly reduced V1 lateral interactions, indicating dependence on feedback signals of the effective connectivity within V1. On the other hand, the feedback influences were reciprocally dependent on V1 lateral interactions because the modulation strengths from V4 to V1 were greatly reduced after discounting the influences from other V1 neurons. Our findings suggest that feedback and lateral connections closely interact to mediate image grouping and segmentation.


2010 ◽  
Vol 30 (38) ◽  
pp. 12745-12758 ◽  
Author(s):  
A. Pooresmaeili ◽  
J. L. Herrero ◽  
M. W. Self ◽  
P. R. Roelfsema ◽  
A. Thiele

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