Analytical investigation of self-organized criticality in neural networks.
about
Molecular signaling network motifs provide a mechanistic basis for cellular threshold responsesBeing critical of criticality in the brain.Avalanches in self-organized critical neural networks: a minimal model for the neural SOC universality class.Self-organized criticality as a fundamental property of neural systems.Identification of Criticality in Neuronal Avalanches: I. A Theoretical Investigation of the Non-driven Case.Biological modelling of a computational spiking neural network with neuronal avalanches.Homeostatic plasticity and emergence of functional networks in a whole-brain model at criticality
P2860
Q26863092-4CAAF221-47DE-4008-B98A-3AF3F113B795Q30515099-F33BD792-3677-434C-A725-E7A5B5AD8ED4Q35151699-9CDE2EA8-6348-4EF1-B18D-22B53464D9DAQ38258072-C157D4CA-CAFF-487D-B561-F5AD3FAAB1C0Q42151110-919F9E1C-56E0-4721-A1C5-39F077BC3002Q47844265-85D7B791-8CA2-4F52-B85D-6DDACF2D2D9CQ57794600-B385071B-AD03-456A-8B98-E4D83C89349A
P2860
Analytical investigation of self-organized criticality in neural networks.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Analytical investigation of self-organized criticality in neural networks.
@en
type
label
Analytical investigation of self-organized criticality in neural networks.
@en
prefLabel
Analytical investigation of self-organized criticality in neural networks.
@en
P2093
P2860
P356
P1476
Analytical investigation of self-organized criticality in neural networks.
@en
P2093
Anne-Ly Do
Felix Droste
Thilo Gross
P2860
P304
P356
10.1098/RSIF.2012.0558
P577
2012-09-12T00:00:00Z