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For: Xu S, Li Y, Guo Q, Yang XF, Chan RHM. Identification of time-varying neural dynamics from spike train data using multiwavelet basis functions. J Neurosci Methods 2017;278:46-56. [PMID: 28062244 DOI: 10.1016/j.jneumeth.2016.12.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 12/26/2016] [Accepted: 12/30/2016] [Indexed: 11/24/2022]
Number Cited by Other Article(s)
1
A novel time-varying modeling and signal processing approach for epileptic seizure detection and classification. Neural Comput Appl 2021. [DOI: 10.1007/s00521-020-05330-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
2
A Sparse Multiwavelet-Based Generalized Laguerre–Volterra Model for Identifying Time-Varying Neural Dynamics from Spiking Activities. ENTROPY 2017. [DOI: 10.3390/e19080425] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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