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Binocular Integration of Visual Information: A Model Study on Naturalistic Optic Flow Processing
The computation of visual information from both visual hemispheres is often of functional relevance when solving orientation and navigation tasks. The vCH-cell is a motion-sensitive wide-field neuron in the visual system of the blowfly Calliphora, a model system in the field of optic flow processing...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3078557/ https://www.ncbi.nlm.nih.gov/pubmed/21519385 http://dx.doi.org/10.3389/fncir.2011.00004 |
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author | Hennig, Patrick Kern, Roland Egelhaaf, Martin |
author_facet | Hennig, Patrick Kern, Roland Egelhaaf, Martin |
author_sort | Hennig, Patrick |
collection | PubMed |
description | The computation of visual information from both visual hemispheres is often of functional relevance when solving orientation and navigation tasks. The vCH-cell is a motion-sensitive wide-field neuron in the visual system of the blowfly Calliphora, a model system in the field of optic flow processing. The vCH-cell receives input from various other identified wide-field cells, the receptive fields of which are located in both the ipsilateral and the contralateral visual field. The relevance of this connectivity to the processing of naturalistic image sequences, with their peculiar dynamical characteristics, is still unresolved. To disentangle the contributions of the different input components to the cell's overall response, we used electrophysiologically determined responses of the vCH-cell and its various input elements to tune a model of the vCH-circuit. Their impact on the vCH-cell response could be distinguished by stimulating not only extended parts of the visual field of the fly, but also selected regions in the ipsi- and contralateral visual field with behaviorally generated optic flow. We show that a computational model of the vCH-circuit is able to account for the neuronal activities of the counterparts in the blowfly's visual system. Furthermore, we offer an insight into the dendritic integration of binocular visual input. |
format | Text |
id | pubmed-3078557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-30785572011-04-25 Binocular Integration of Visual Information: A Model Study on Naturalistic Optic Flow Processing Hennig, Patrick Kern, Roland Egelhaaf, Martin Front Neural Circuits Neuroscience The computation of visual information from both visual hemispheres is often of functional relevance when solving orientation and navigation tasks. The vCH-cell is a motion-sensitive wide-field neuron in the visual system of the blowfly Calliphora, a model system in the field of optic flow processing. The vCH-cell receives input from various other identified wide-field cells, the receptive fields of which are located in both the ipsilateral and the contralateral visual field. The relevance of this connectivity to the processing of naturalistic image sequences, with their peculiar dynamical characteristics, is still unresolved. To disentangle the contributions of the different input components to the cell's overall response, we used electrophysiologically determined responses of the vCH-cell and its various input elements to tune a model of the vCH-circuit. Their impact on the vCH-cell response could be distinguished by stimulating not only extended parts of the visual field of the fly, but also selected regions in the ipsi- and contralateral visual field with behaviorally generated optic flow. We show that a computational model of the vCH-circuit is able to account for the neuronal activities of the counterparts in the blowfly's visual system. Furthermore, we offer an insight into the dendritic integration of binocular visual input. Frontiers Research Foundation 2011-04-04 /pmc/articles/PMC3078557/ /pubmed/21519385 http://dx.doi.org/10.3389/fncir.2011.00004 Text en Copyright © 2011 Hennig, Kern and Egelhaaf. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with. |
spellingShingle | Neuroscience Hennig, Patrick Kern, Roland Egelhaaf, Martin Binocular Integration of Visual Information: A Model Study on Naturalistic Optic Flow Processing |
title | Binocular Integration of Visual Information: A Model Study on Naturalistic Optic Flow Processing |
title_full | Binocular Integration of Visual Information: A Model Study on Naturalistic Optic Flow Processing |
title_fullStr | Binocular Integration of Visual Information: A Model Study on Naturalistic Optic Flow Processing |
title_full_unstemmed | Binocular Integration of Visual Information: A Model Study on Naturalistic Optic Flow Processing |
title_short | Binocular Integration of Visual Information: A Model Study on Naturalistic Optic Flow Processing |
title_sort | binocular integration of visual information: a model study on naturalistic optic flow processing |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3078557/ https://www.ncbi.nlm.nih.gov/pubmed/21519385 http://dx.doi.org/10.3389/fncir.2011.00004 |
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