Parameter as a Switch Between Dynamical States of a Network in Population Decoding

Yu, Jiali, Mao, Hua and Yi, Zhang (2017) Parameter as a Switch Between Dynamical States of a Network in Population Decoding. IEEE Transactions on Neural Networks and Learning Systems, 28 (4). pp. 911-916. ISSN 2162-237X

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Official URL: http://dx.doi.org/10.1109/TNNLS.2015.2485263

Abstract

Population coding is a method to represent stimuli using the collective activities of a number of neurons. Nevertheless, it is difficult to extract information from these population codes with the noise inherent in neuronal responses. Moreover, it is a challenge to identify the right parameter of the decoding model, which plays a key role for convergence. To address the problem, a population decoding model is proposed for parameter selection. Our method successfully identified the key conditions for a nonzero continuous attractor. Both the theoretical analysis and the application studies demonstrate the correctness and effectiveness of this strategy.

Item Type: Article
Uncontrolled Keywords: Continuous attractor, parameter, parameter switch, population decoding
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 13 Jun 2019 12:21
Last Modified: 11 Oct 2019 09:18
URI: http://nrl.northumbria.ac.uk/id/eprint/39674

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