Cargando…
Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model
A vast amount of information about the external world continuously flows into the brain, whereas its capacity to process such information is limited. Attention enables the brain to allocate its resources of information processing to selected sensory inputs for reducing its computational load, and ef...
Autores principales: | Wagatsuma, Nobuhiko, Potjans, Tobias C., Diesmann, Markus, Fukai, Tomoki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3134838/ https://www.ncbi.nlm.nih.gov/pubmed/21779240 http://dx.doi.org/10.3389/fncom.2011.00031 |
Ejemplares similares
-
Layer dependent neural modulation of a realistic layered-microcircuit model in visual cortex based on bottom-up and top-down signals
por: Wagatsuma, Nobuhiko, et al.
Publicado: (2011) -
Spatial and Feature-Based Attention in a Layered Cortical Microcircuit Model
por: Wagatsuma, Nobuhiko, et al.
Publicado: (2013) -
The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model
por: Potjans, Tobias C., et al.
Publicado: (2014) -
A microcircuit model involving parvalbumin, somatostatin, and vasoactive intestinal polypeptide inhibitory interneurons for the modulation of neuronal oscillation during visual processing
por: Wagatsuma, Nobuhiko, et al.
Publicado: (2022) -
Robustness vs. flexibility: how do external inputs shape the activity in a data-based layered cortical network model?
por: Potjans, Tobias C, et al.
Publicado: (2011)