Cargando…
Identification of Multiple Noise Sources Improves Estimation of Neural Responses across Stimulus Conditions
Most models of neural responses are constructed to reproduce the average response to inputs but lack the flexibility to capture observed variability in responses. The origins and structure of this variability have significant implications for how information is encoded and processed in the nervous s...
Autores principales: | Weber, Alison I., Shea-Brown, Eric, Rieke, Fred |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260275/ https://www.ncbi.nlm.nih.gov/pubmed/34083382 http://dx.doi.org/10.1523/ENEURO.0191-21.2021 |
Ejemplares similares
-
Noise- and stimulus-dependence of the optimal encoding nonlinearities in a simple ON/OFF retinal circuit model
por: Brinkman, Braden A W, et al.
Publicado: (2014) -
How Do Efficient Coding Strategies Depend on Origins of Noise in Neural Circuits?
por: Brinkman, Braden A. W., et al.
Publicado: (2016) -
Interactions across Multiple Stimulus Dimensions in Primary Auditory Cortex
por: Sloas, David C., et al.
Publicado: (2016) -
Noise correlations improve response fidelity and stimulus encoding
por: Cafaro, Jon, et al.
Publicado: (2010) -
Consistency requirements determine optimal noise correlations in neural populations
por: Zylberberg, Joel, et al.
Publicado: (2013)