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A normative model of attention: receptive field modulation
Jaramillo, Santiago; Pearlmutter, Barak A.
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.
Keyword(s): Attention; Neural coding; Learning; Receptive field
Publication Date:
2004
Type: Journal article
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Jaramillo, Santiago and Pearlmutter, Barak A. (2004) A normative model of attention: receptive field modulation. Neurocomputing, 58-60. pp. 613-618. ISSN 0925-2312
Publisher(s): Elsevier
File Format(s): other
Related Link(s): http://mural.maynoothuniversity.ie/8120/1/BP-normative-2004.pdf
First Indexed: 2020-04-02 06:32:26 Last Updated: 2020-04-02 06:32:26