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  A Neural Network for the Processing of Optic Flow from Ego-Motion in Man and Higher Mammals

Lappe, M., & Rauschecker, J. (1993). A Neural Network for the Processing of Optic Flow from Ego-Motion in Man and Higher Mammals. Neural computation, 5(3), 374-391. doi:10.1162/neco.1993.5.3.374.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-0318-C Version Permalink: http://hdl.handle.net/21.11116/0000-0006-480E-B
Genre: Journal Article

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 Creators:
Lappe, M1, 2, Author              
Rauschecker, JP1, 2, Author              
Affiliations:
1Former Department Structure and Function of Natural Nerve-Net , Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497803              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Interest in the processing of optic flow has increased recently in both the neurophysiological and the psychophysical communities. We have designed a neural network model of the visual motion pathway in higher mammals that detects the direction of heading from optic flow. The model is a neural implementation of the subspace algorithm introduced by Heeger and Jepson (1990). We have tested the network in simulations that are closely related to psychophysical and neurophysiological experiments and show that our results are consistent with recent data from both fields. The network reproduces some key properties of human ego-motion perception. At the same time, it produces neurons that are selective for different components of ego-motion flow fields, such as expansions and rotations. These properties are reminiscent of a subclass of neurons in cortical area MSTd, the triple-component neurons. We propose that the output of such neurons could be used to generate a computational map of heading directions in or beyond MST.

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 Dates: 1993-05
 Publication Status: Published in print
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 Identifiers: DOI: 10.1162/neco.1993.5.3.374
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Title: Neural computation
Source Genre: Journal
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Publ. Info: Cambridge, Mass. : MIT Press
Pages: - Volume / Issue: 5 (3) Sequence Number: - Start / End Page: 374 - 391 Identifier: ISSN: 0899-7667
CoNE: https://pure.mpg.de/cone/journals/resource/954925561591