Cargando…
Sparse Functional Identification of Complex Cells from Spike Times and the Decoding of Visual Stimuli
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 measurements (s...
Autores principales: | Lazar, Aurel A., Ukani, Nikul H., Zhou, Yiyin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773573/ https://www.ncbi.nlm.nih.gov/pubmed/29349664 http://dx.doi.org/10.1186/s13408-017-0057-1 |
Ejemplares similares
-
Functional identification of complex cells from spike times and the decoding of visual stimuli
por: Lazar, Aurel A, et al.
Publicado: (2015) -
Sparse identification of contrast gain control in the fruit fly photoreceptor and amacrine cell layer
por: Lazar, Aurel A., et al.
Publicado: (2020) -
A Motion Detection Algorithm Using Local Phase Information
por: Lazar, Aurel A., et al.
Publicado: (2016) -
Retina of the fruit fly eyes: a detailed simulation model
por: Lazar, Aurel A, et al.
Publicado: (2015) -
Encoding visual stimuli with a population of Hodgkin-Huxley neurons
por: Lazar, Aurel A, et al.
Publicado: (2010)