Chapter

Dynamic Cue Combination in Distributional Population Code Networks

Rama Natarajan and Richard S. Zemel

in Sensory Cue Integration

Published in print September 2011 | ISBN: 9780195387247
Published online September 2012 | e-ISBN: 9780199918379 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195387247.003.0020

Series: Computational Neuroscience Series

Dynamic Cue Combination in Distributional Population Code Networks

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This chapter considers how a neural system could properly combine cues even as their reliabilities change dynamically and continuously in time. It describes a framework for characterizing how uncertain information may be represented in population codes, and how the representation may be optimized to facilitate optimal decoding. It then motivates and presents a coding scheme within this framework that applies to time-varying stimulus variables. Next, it describes a hierarchical network setup that utilizes this coding approach, and demonstrates an application to a dynamic cue-combination task—a novel adaptation of a sensorimotor task. Specifically, it considers how a neural population might recursively integrate dynamic inputs from multiple sensory modalities with learned prior information, to determine appropriate motor commands that control behavior; the results of simulated experiments with this network are presented. Finally, the implications of this scheme and suggest some future directions are discussed.

Keywords: neural system; cues; reliability; population codes; time-varying stimulus variables; multiple sensory modalities; prior information

Chapter.  14182 words.  Illustrated.

Subjects: Neuropsychology

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