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

Jiali Yu, Hua Mao, Zhang Yi

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
6 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)911-916
Number of pages6
JournalIEEE Transactions on Neural Networks and Learning Systems
Volume28
Issue number4
Early online date26 Oct 2015
DOIs
Publication statusPublished - Apr 2017

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