Discriminative learning of receptive fields from responses to non-Gaussian stimulus ensembles.
Analysis of sensory neurons' processing characteristics requires simultaneous measurement of presented stimuli and concurrent spike responses. The functional transformation from high-dimensional stimulus space to the binary space of spike and non-spike responses is commonly described with linea...
Guardado en:
Autores principales: | Arne F Meyer, Jan-Philipp Diepenbrock, Max F K Happel, Frank W Ohl, Jörn Anemüller |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2014
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2c9f20921f7248d9919c711173f45726 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Stimulus dependent transformations between synaptic and spiking receptive fields in auditory cortex
por: Kyunghee X. Kim, et al.
Publicado: (2020) -
Riemannian Gaussian distributions, random matrix ensembles and diffusion kernels
por: Leonardo Santilli, et al.
Publicado: (2021) -
Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models
por: Yee-Fun Lim, et al.
Publicado: (2021) -
Composite binocular perception from dichoptic stimulus arrays with similar ensemble information
por: Oakyoon Cha, et al.
Publicado: (2018) -
Neuronal oscillations enhance stimulus discrimination by ensuring action potential precision.
por: Andreas T Schaefer, et al.
Publicado: (2006)