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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Yu et al - Parameter as a Switch Between Dynamical States of a Network in Population Decoding AAM.pdf - Accepted Version Download (767kB) | Preview |
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 |
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| 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: | 01 Aug 2021 11:30 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/39674 |
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