A normative model of attention: receptive field modulation

NEUROCOMPUTING

卷:58

Article

Jaramillo, S ; Pearlmutter, BA

关键词: attention;    neural coding;    learning;    receptive field;   

DOI  :  10.1016/j.neucom.2004.01.103

来源: Elsevier

【 摘 要 】

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. (C) 2003 Published by Elsevier B.V.

【 授权许可】

Free