Cargando…
Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep
The brain exhibits capabilities of fast incremental learning from few noisy examples, as well as the ability to associate similar memories in autonomously-created categories and to combine contextual hints with sensory perceptions. Together with sleep, these mechanisms are thought to be key componen...
Autores principales: | Golosio, Bruno, De Luca, Chiara, Capone, Cristiano, Pastorelli, Elena, Stegel, Giovanni, Tiddia, Gianmarco, De Bonis, Giulia, Paolucci, Pier Stanislao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270441/ https://www.ncbi.nlm.nih.gov/pubmed/34181642 http://dx.doi.org/10.1371/journal.pcbi.1009045 |
Ejemplares similares
-
Sleep-like slow oscillations improve visual classification through synaptic homeostasis and memory association in a thalamo-cortical model
por: Capone, Cristiano, et al.
Publicado: (2019) -
Fast Simulations of Highly-Connected Spiking Cortical Models Using GPUs
por: Golosio, Bruno, et al.
Publicado: (2021) -
Simulations of working memory spiking networks driven by short-term plasticity
por: Tiddia, Gianmarco, et al.
Publicado: (2022) -
Fast Simulation of a Multi-Area Spiking Network Model of Macaque Cortex on an MPI-GPU Cluster
por: Tiddia, Gianmarco, et al.
Publicado: (2022) -
Target spike patterns enable efficient and biologically plausible learning for complex temporal tasks
por: Muratore, Paolo, et al.
Publicado: (2021)