Functional Periodic Intracortical Couplings Induced by Structured Lateral Inhibition in a Linear Cortical Network

Author:

Sabatini S. P.1,Bisio G. M.1,Raffo L.2

Affiliation:

1. PSPC Research Group, Department of Biophysical and Electronic Engineering, University of Genova, Genova, Italy

2. Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy

Abstract

The spatial organization of cortical axon and dendritic fields could be an interesting structural paradigm to obtain a functional specificity with out postulating highly specific feedforward connections. In this article, we investigate the functional implications of recurrent intracortical inhibition when it occurs through clustered medium-range interconnection schemes (Wörgötter & Koch, 1991; Somogyi, 1989; Kritzer, Cowey, & Somogyi, 1992). Moreover, the interaction between the inhibitory schemes and visual orientation maps is explored. Assuming linearity, we show that clustered inhibitory mechanisms can trigger a propagation process that allows the development of extra (i.e., induced) interactions among the cortical sites involved in the recurrent loops. In addition, we point out how these interactions functionally modify the response of cortical simple cells and yield to highly structured Gabor-like receptive fields. This study should be considered not as a realistic biological model of the primary visual cortex but as an attempt to explain possible computational principles related to intracortical connectivity and to the underlying single-cell properties.

Publisher

MIT Press - Journals

Subject

Cognitive Neuroscience,Arts and Humanities (miscellaneous)

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Emergence in the central nervous system;Cognitive Neurodynamics;2012-11-28

2. Dynamics of Receptive Field Size in Primary Visual Cortex;Journal of Neurophysiology;2007-01

3. Dynamics of Spatial Frequency Tuning in Macaque V1;The Journal of Neuroscience;2002-03-01

4. Analog VLSI circuits as physical structures for perception in early visual tasks;IEEE Transactions on Neural Networks;1998

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