Cargando…
Targeting operational regimes of interest in recurrent neural networks
Neural computations emerge from local recurrent neural circuits or computational units such as cortical columns that comprise hundreds to a few thousand neurons. Continuous progress in connectomics, electrophysiology, and calcium imaging require tractable spiking network models that can consistently...
Autores principales: | Ekelmans, Pierre, Kraynyukova, Nataliya, Tchumatchenko, Tatjana |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212141/ https://www.ncbi.nlm.nih.gov/pubmed/37186668 http://dx.doi.org/10.1371/journal.pcbi.1011097 |
Ejemplares similares
-
Stabilized supralinear network can give rise to bistable, oscillatory, and persistent activity
por: Kraynyukova, Nataliya, et al.
Publicado: (2018) -
Computational insights into mRNA and protein dynamics underlying synaptic plasticity rules
por: Wagle, Surbhit, et al.
Publicado: (2023) -
In vivo extracellular recordings of thalamic and cortical visual responses reveal V1 connectivity rules
por: Kraynyukova, Nataliya, et al.
Publicado: (2022) -
Nonlinear response characteristics of neural networks and single neurons undergoing optogenetic excitation
por: Luboeinski, Jannik, et al.
Publicado: (2020) -
The contribution of subthreshold preference in inhibitory neurons to network response
por: Tchumatchenko, Tatjana, et al.
Publicado: (2015)