title: Parameter as a Switch Between Dynamical States of a Network in Population Decoding.
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.
authors.forename: Jiali
authors.initials: J
authors.lastname: Yu
authors.forename: Hua
authors.initials: H
authors.lastname: Mao
authors.forename: Zhang
authors.initials: Z
authors.lastname: Yi