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  Motion Processing in the Macaque: Revisited with Functional Magnetic Resonance Imaging

Tolias, A., Smirnakis, S., Augath, M., Trinath, T., & Logothetis, N. (2001). Motion Processing in the Macaque: Revisited with Functional Magnetic Resonance Imaging. The Journal of Neuroscience, 21(21), 8594-8601. doi:10.1523/JNEUROSCI.21-21-08594.2001.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-E1AF-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-95F0-4
Genre: Journal Article

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 Creators:
Tolias, AS1, 2, Author              
Smirnakis, SM1, 2, Author              
Augath, MA1, 2, Author              
Trinath, T1, 2, Author              
Logothetis, NK1, 2, Author              
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: A great deal is known about the response properties of single neurons processing sensory information. In contrast, less is understood about the collective characteristics of networks of neurons that may underlie sensory capacities of animals. We used functional magnetic resonance imaging to study the emergent properties of populations of neurons processing motion across different brain areas. Using a visual adaptation paradigm, we localized a distributed network of visual areas that process information about the direction of motion as expected from single-cell recording studies. However, we found an apparent discrepancy between the directional signals in certain visual areas as measured with blood oxygenation level-dependent imaging compared with an estimate based on the spiking of single neurons. We propose a hypothesis that may account for this difference based on the postulate that neuronal selectivity is a function of the state of adaptation. Consequently, neurons classically thought to lack information about certain attributes of the visual scene may nevertheless receive and process this information. We further hypothesize that this adaptation-dependent selectivity may arise from intra- or inter-area cellular connections, such as feedback from higher areas. This network property may be a universal principle the computational goal of which is to enhance the ability of neurons in earlier visual areas to adapt to statistical regularities of the input and therefore increase their sensitivity to detect changes along these stimulus dimensions.

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 Dates: 2001-11
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: BibTex Citekey: 53
DOI: 10.1523/JNEUROSCI.21-21-08594.2001
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Title: The Journal of Neuroscience
  Other : The Journal of Neuroscience: the Official Journal of the Society for Neuroscience
  Abbreviation : J. Neurosci.
Source Genre: Journal
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Publ. Info: Washington, DC : Society of Neuroscience
Pages: - Volume / Issue: 21 (21) Sequence Number: - Start / End Page: 8594 - 8601 Identifier: ISSN: 0270-6474
CoNE: https://pure.mpg.de/cone/journals/resource/954925502187_1