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A normative model of attention: receptive field
modulation |
Jaramillo, Santiago; Pearlmutter, Barak A.
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When sensory stimuli are encoded in a lossy fashion for efficient transmission, there are necessarily tradeoffs between the represented fidelity of various aspects of the stimuli. In the model of attention presented here, a top-down signal informs the encoder of these tradeoffs. Given the stimulus ensemble and tradeoff requirements, our system learns an optimal encoder. This general model is instantiated in a simple network: an autoencoder with a bottleneck, innervated by a top-down attentional signal, and trained using backpropagation. The modulation of neural activity learned by this model qualitatively matches that measured in animals during visual attention tasks.
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Keyword(s):
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Attention; Neural coding; Learning; Receptive field |
Publication Date:
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2004 |
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Type:
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Journal article |
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Peer-Reviewed:
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Yes |
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Institution:
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Maynooth University |
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Citation(s):
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Jaramillo, Santiago and Pearlmutter, Barak A. (2004) A normative model of attention: receptive field modulation. Neurocomputing, 58-60. pp. 613-618. ISSN 0925-2312 |
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Publisher(s):
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Elsevier |
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File Format(s):
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other |
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Related Link(s):
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http://mural.maynoothuniversity.ie/8120/1/BP-normative-2004.pdf |
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First Indexed:
2020-04-02 06:32:26 Last Updated:
2020-04-02 06:32:26 |
