Cargando…
Channel Identification Machines
We present a formal methodology for identifying a channel in a system consisting of a communication channel in cascade with an asynchronous sampler. The channel is modeled as a multidimensional filter, while models of asynchronous samplers are taken from neuroscience and communications and include i...
Autores principales: | Lazar, Aurel A., Slutskiy, Yevgeniy B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3505648/ https://www.ncbi.nlm.nih.gov/pubmed/23227035 http://dx.doi.org/10.1155/2012/209590 |
Ejemplares similares
-
Channel identification machines for multidimensional receptive fields
por: Lazar, Aurel A., et al.
Publicado: (2014) -
Identification of nonlinear-nonlinear neuron models and stimulus decoding
por: Lazar, Aurel A, et al.
Publicado: (2013) -
Functional identification and evaluation of massively parallel neural circuits
por: Lazar, Aurel A, et al.
Publicado: (2013) -
System identification of DM4 glomerulus in the Drosophila antennal lobe using stationary and non-stationary odor stimuli
por: Kim, Anmo J, et al.
Publicado: (2010) -
Estimating receptive fields and spike-processing neural circuits in Drosophila
por: Lazar, Aurel A, et al.
Publicado: (2012)