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Sensory Cue Integration$
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Julia Trommershäuser, Konrad Kording, and Michael S. Landy

Print publication date: 2011

Print ISBN-13: 9780195387247

Published to Oxford Scholarship Online: September 2012

DOI: 10.1093/acprof:oso/9780195387247.001.0001

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Dynamic Cue Combination in Distributional Population Code Networks

Dynamic Cue Combination in Distributional Population Code Networks

Chapter:
(p.368) CHAPTER 20 Dynamic Cue Combination in Distributional Population Code Networks
Source:
Sensory Cue Integration
Author(s):

Rama Natarajan

Richard S. Zemel

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195387247.003.0020

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

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