Sparse Functional Identification of Complex Cells from Spike Times and the Decoding of Visual Stimuli

Sparse Functional Identification of Complex Cells from Spike Times and the Decoding of Visual Stimuli

Abstract We investigate the sparse functional identification of complex cells and the decoding of spatio-temporal visual stimuli encoded by an ensemble of complex cells. The reconstruction algorithm is formulated as a rank minimization problem that significantly reduces the number of sampling measur...

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Bibliographic Details
Main Authors: Aurel A. Lazar, Nikul H. Ukani, Yiyin Zhou
Format: Article
Language:English
Published: SpringerOpen 2018-01-01
Series:Journal of Mathematical Neuroscience
Subjects:
Encoding of visual stimuli
Complex cells
Quadratic receptive fields
Dendritic stimulus processors
Sparse neural decoding
Sparse functional identification
Online Access:http://link.springer.com/article/10.1186/s13408-017-0057-1

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http://link.springer.com/article/10.1186/s13408-017-0057-1

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