A Sparse Multiwavelet-Based Generalized Laguerre–Volterra Model for Identifying Time-Varying Neural Dynamics from Spiking Activities

A Sparse Multiwavelet-Based Generalized Laguerre–Volterra Model for Identifying Time-Varying Neural Dynamics from Spiking Activities

Modeling of a time-varying dynamical system provides insights into the functions of biological neural networks and contributes to the development of next-generation neural prostheses. In this paper, we have formulated a novel sparse multiwavelet-based generalized Laguerre–Volterra (sMGLV) modeling f...

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Bibliographic Details
Main Authors: Song Xu, Yang Li, Tingwen Huang, Rosa H. M. Chan
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Entropy
Subjects:
time-varying system
generalized Laguerre–Volterra model
group LASSO
b-splines basis functions
forward orthogonal regression (FOR)
sparsity
spike train data
Online Access:https://www.mdpi.com/1099-4300/19/8/425

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