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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Abstract
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.
| Item Type: | Article |
|---|---|
| Keywords: | Attention; Neural coding; Learning; Receptive field; |
| Academic Unit: | Faculty of Science and Engineering > Computer Science |
| Item ID: | 8120 |
| Identification Number: | 10.1016/j.neucom.2004.01.103 |
| Depositing User: | Barak Pearlmutter |
| Date Deposited: | 05 Apr 2017 15:37 |
| Journal or Publication Title: | Neurocomputing |
| Publisher: | Elsevier |
| Refereed: | Yes |
| Related URLs: | |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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