Cargando…
Biophysical parameters control signal transfer in spiking network
INTRODUCTION: Information transmission and representation in both natural and artificial networks is dependent on connectivity between units. Biological neurons, in addition, modulate synaptic dynamics and post-synaptic membrane properties, but how these relate to information transmission in a popul...
Autores principales: | Garnier Artiñano, Tomás, Andalibi, Vafa, Atula, Iiris, Maestri, Matteo, Vanni, Simo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905747/ https://www.ncbi.nlm.nih.gov/pubmed/36761840 http://dx.doi.org/10.3389/fncom.2023.1011814 |
Ejemplares similares
-
Contextual Modulation is Related to Efficiency in a Spiking Network Model of Visual Cortex
por: Sharifian, Fariba, et al.
Publicado: (2016) -
Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network
por: Cone, Ian, et al.
Publicado: (2021) -
Correction: Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network
por: Cone, Ian, et al.
Publicado: (2023) -
Mechanisms of Induction and Maintenance of Spike-Timing Dependent Plasticity in Biophysical Synapse Models
por: Graupner, Michael, et al.
Publicado: (2010) -
Volterra dendritic stimulus processors and biophysical spike generators with intrinsic noise sources
por: Lazar, Aurel A., et al.
Publicado: (2014)