| Neocortical layer 4 as a pluripotent function linearizer. | |
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MedLine Citation:
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PMID: 21248059 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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A highly effective kernel-based strategy used in Machine Learning is to transform the input space into a new "feature" space where nonlinear problems become linear and more readily solvable with efficient linear techniques. We propose that a similar "problem-linearization" strategy is used by the neocortical input layer 4 to reduce the difficulty of learning nonlinear relations between the afferent inputs to a cortical column and its to-be-learned upper-layer outputs. The key to this strategy is the presence of broadly tuned feed-forward inhibition in layer 4: it turns local layer 4 domains into functional analogs of Radial Basis Function networks, which are known for their universal function approximation capabilities. Using a computational model of layer 4 with feed-forward inhibition and Hebbian afferent connections, self-organized on natural images to closely match structural and functional properties of layer 4 of the cat primary visual cortex, we show that such layer-4-like networks have a strong intrinsic tendency to perform input transforms that automatically linearize a broad repertoire of potential nonlinear functions over the afferent inputs. This capacity for pluripotent function linearization, which is highly robust to variations in network parameters, suggests that layer 4 might contribute importantly to sensory information processing as a pluripotent function linearizer: performing such a transform of afferent inputs to a cortical column that makes possible for neurons in the upper layers of the column to learn and perform their complex functions using primarily linear operations. |
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Authors:
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Oleg V Favorov; Olcay Kursun |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-1-19 |
Journal Detail:
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Title: Journal of neurophysiology Volume: - ISSN: 1522-1598 ISO Abbreviation: - Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2011-1-20 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0375404 Medline TA: J Neurophysiol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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1Univ. of North Carolina at Chapel Hill. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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