Cargando…
Model-Free Estimation of Tuning Curves and Their Attentional Modulation, Based on Sparse and Noisy Data
Tuning curves are the functions that relate the responses of sensory neurons to various values within one continuous stimulus dimension (such as the orientation of a bar in the visual domain or the frequency of a tone in the auditory domain). They are commonly determined by fitting a model e.g. a Ga...
Autores principales: | Helmer, Markus, Kozyrev, Vladislav, Stephan, Valeska, Treue, Stefan, Geisel, Theo, Battaglia, Demian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718600/ https://www.ncbi.nlm.nih.gov/pubmed/26785378 http://dx.doi.org/10.1371/journal.pone.0146500 |
Ejemplares similares
-
Non-multiplicative attentional modulation patterns in area MT
por: Helmer, Markus, et al.
Publicado: (2013) -
Model-Free Reconstruction of Excitatory Neuronal Connectivity from Calcium Imaging Signals
por: Stetter, Olav, et al.
Publicado: (2012) -
Attention enhances stimulus representations in macaque visual cortex without affecting their signal-to-noise level
por: Daliri, Mohammad Reza, et al.
Publicado: (2016) -
Strategic deployment of feature-based attentional gain in primate visual cortex
por: Kozyrev, Vladislav, et al.
Publicado: (2019) -
Inferring sparse networks for noisy transient processes
por: Tran, Hoang M., et al.
Publicado: (2016)