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J Neurophysiol (January 16, 2008). doi:10.1152/jn.00871.2007
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Submitted on August 6, 2007
Accepted on January 15, 2008

A Computational Model of Perceptual Fill-in Following Retinal Degeneration

Justin Neubern McManus1, Shimon Ullman2, and Charles David Gilbert1*

1 Laboratory of Neurobiology, The Rockefeller University, New York, New York, United States
2 Department of Computer Science and Applied Mathematics, The Weizmann Institute, Rehovot, Israel

* To whom correspondence should be addressed. E-mail: gilbert{at}mail.rockefeller.edu.

The ablation of afferent input results in the reorganization of sensory and motor cortices. In the primary visual cortex (V1), binocular retinal lesions deprive a corresponding cortical region (the lesion projection zone, LPZ) of visual input. Nevertheless, neurons in the LPZ regain responsiveness by shifting their receptive fields (RFs) outside the retinal lesions; this reemergence of neural activity is paralleled by the perceptual completion of disrupted visual input in human subjects with retinal damage. To determine whether V1 reorganization can account for perceptual fill-in, we developed a neural network model that simulates the cortical remapping in V1. The model shows that RF shifts mediated by the plexus of spatial- and orientation-dependent horizontal connections in V1 can engender filling-in that is both robust and consistent with psychophysical reports of perceptual completion. Our model suggests that V1 reorganization may underlie perceptual fill-in, and it predicts spatial relationships between the original and remapped RFs that can be tested experimentally. More generally, it provides a general explanation for adaptive functional changes following CNS lesions, based on the recruitment of existing cortical connections that are involved in normal integrative mechanisms.







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