Cargando…
Coding with transient trajectories in recurrent neural networks
Following a stimulus, the neural response typically strongly varies in time and across neurons before settling to a steady-state. While classical population coding theory disregards the temporal dimension, recent works have argued that trajectories of transient activity can be particularly informati...
Autores principales: | Bondanelli, Giulio, Ostojic, Srdjan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043794/ https://www.ncbi.nlm.nih.gov/pubmed/32053594 http://dx.doi.org/10.1371/journal.pcbi.1007655 |
Ejemplares similares
-
Network dynamics underlying OFF responses in the auditory cortex
por: Bondanelli, Giulio, et al.
Publicado: (2021) -
The impact of sparsity in low-rank recurrent neural networks
por: Herbert, Elizabeth, et al.
Publicado: (2022) -
Contrasting the effects of adaptation and synaptic filtering on the timescales of dynamics in recurrent networks
por: Beiran, Manuel, et al.
Publicado: (2019) -
Relating local connectivity and global dynamics in recurrent excitatory-inhibitory networks
por: Shao, Yuxiu, et al.
Publicado: (2023) -
Computational methods to study information processing in neural circuits
por: Koren, Veronika, et al.
Publicado: (2023)