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  Coordinated Optimization of Visual Cortical Maps (I) Symmetry-based Analysis

Reichl, L., Heide, D., Löwel, S., Crowley, J. C., Kaschube, M., & Wolf, F. (2012). Coordinated Optimization of Visual Cortical Maps (I) Symmetry-based Analysis. PLoS Computational Biology, 8(11): e1002466. doi:10.1371/journal.pcbi.1002466.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-1063-D Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-1064-B
Genre: Journal Article

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 Creators:
Reichl, Lars1, Author              
Heide, Dominik, Author
Löwel, Siegrid, Author
Crowley, Justin C., Author
Kaschube, Matthias1, Author              
Wolf, Fred1, 2, Author              
Affiliations:
1Research Group Theoretical Neurophysics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063289              
2Department of Nonlinear Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063286              

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 Abstract: In the primary visual cortex of primates and carnivores, functional architecture can be characterized by maps of various stimulus features such as orientation preference (OP), ocular dominance (OD), and spatial frequency. It is a long-standing question in theoretical neuroscience whether the observed maps should be interpreted as optima of a specific energy functional that summarizes the design principles of cortical functional architecture. A rigorous evaluation of this optimization hypothesis is particularly demanded by recent evidence that the functional architecture of orientation columns precisely follows species invariant quantitative laws. Because it would be desirable to infer the form of such an optimization principle from the biological data, the optimization approach to explain cortical functional architecture raises the following questions: i) What are the genuine ground states of candidate energy functionals and how can they be calculated with precision and rigor? ii) How do differences in candidate optimization principles impact on the predicted map structure and conversely what can be learned about a hypothetical underlying optimization principle from observations on map structure? iii) Is there a way to analyze the coordinated organization of cortical maps predicted by optimization principles in general? To answer these questions we developed a general dynamical systems approach to the combined optimization of visual cortical maps of OP and another scalar feature such as OD or spatial frequency preference. From basic symmetry assumptions we obtain a comprehensive phenomenological classification of possible inter-map coupling energies and examine representative examples. We show that each individual coupling energy leads to a different class of OP solutions with different correlations among the maps such that inferences about the optimization principle from map layout appear viable. We systematically assess whether quantitative laws resembling experimental observations can result from the coordinated optimization of orientation columns with other feature maps.

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Language(s): eng - English
 Dates: 2012-11-08
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: eDoc: 633604
DOI: 10.1371/journal.pcbi.1002466
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Title: PLoS Computational Biology
Source Genre: Journal
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Pages: - Volume / Issue: 8 (11) Sequence Number: e1002466 Start / End Page: - Identifier: -