A Dynamic Efficient Sensory Encoding Approach to Adaptive Tuning in Neural Models of Optic Flow Processing

This paper introduces a self-tuning mechanism for capturing rapid adaptation to changing visual stimuli by a population of neurons. Building upon the principles of efficient sensory encoding, we show how neural tuning curve parameters can be continually updated to optimally encode a time-varying dis...

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Detalles Bibliográficos
Autores principales: Steinmetz, Scott T., Layton, Oliver W., Powell, Nathaniel V., Fajen, Brett R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Computational Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011806/
https://www.ncbi.nlm.nih.gov/pubmed/35431848
http://dx.doi.org/10.3389/fncom.2022.844289

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011806/
https://www.ncbi.nlm.nih.gov/pubmed/35431848
http://dx.doi.org/10.3389/fncom.2022.844289

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