about
Bursting regimes in a reaction-diffusion system with action potential-dependent equilibrium.Noise-enhanced nonlinear response and the role of modular structure for signal detection in neuronal networks.Neuronal network model of interictal and recurrent ictal activity.High-accuracy approximation of binary-state dynamics on networks.Link-based formalism for time evolution of adaptive networks.Critical Dynamics of thek-Core Pruning ProcessCritical phenomena and noise-induced phase transitions in neuronal networksImpact of noise and damage on collective dynamics of scale-free neuronal networks
P2860
Q35590389-126F1552-5413-4611-BA67-FE40AAADFEFDQ48417907-3406528B-0AAC-4CEA-ADD4-0BAAB4E5D6B8Q49959931-545A87AB-6046-4A23-8A3A-18C817BB8DA8Q51533559-55914E36-6121-4362-8A6F-1346F3D4FEA6Q54763025-2DFB5423-1A34-4C10-987B-9114A07836BDQ59280413-492F5E2E-2597-4FBE-B814-64476CF052E1Q59280419-D23DA815-7FD1-4627-92D9-00BA9DA17FE9Q59280426-7EF6F7D9-7B10-4E56-9F82-78B4ECCF6842
P2860
description
article
@en
im Juni 2010 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в червні 2010
@uk
name
Stochastic cellular automata model of neural networks
@en
Stochastic cellular automata model of neural networks
@nl
type
label
Stochastic cellular automata model of neural networks
@en
Stochastic cellular automata model of neural networks
@nl
prefLabel
Stochastic cellular automata model of neural networks
@en
Stochastic cellular automata model of neural networks
@nl
P2860
P50
P1433
P1476
Stochastic cellular automata model of neural networks
@en
P2093
de Abreu FV
P2860
P304
P356
10.1103/PHYSREVE.81.061921
P407
P433
P577
2010-06-22T00:00:00Z