Percolation transition at growing spatiotemporal fractal patterns in models of mesoscopic neural networks

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 79, Issue 6, 2009, Pages

  Franović, Igor ^a   Miljković, Vladimir ^a  

^a UNIVERSITY OF BELGRADE   (Serbia)

Author keywords

[No Author keywords available]

Indexed keywords

CRITICAL BEHAVIOR; DIRECTED PERCOLATION; FINITE-SIZE SCALING METHOD; FRACTAL PATTERNS; IN-VITRO; KEY PARAMETERS; LEARNING RULES; MESOSCOPIC; NETWORK MODELS; PACKET PROPAGATION; PAIR CONTACT PROCESS WITH DIFFUSIONS; PERCOLATION CLUSTERS; PERCOLATION PHASE TRANSITION; PERCOLATION TRANSITION; SPATIOTEMPORAL PATTERNS; SPIKE-TIMING-DEPENDENT PLASTICITY; STEADY-STATE DISTRIBUTIONS; SYNAPTIC STRENGTHS; SYNFIRE CHAINS; TWO-DIMENSIONAL LATTICES; UNIVERSALITY CLASS;

FRACTAL DIMENSION; PERCOLATION (SOLID STATE); PROBABILITY DISTRIBUTIONS; SOLVENTS; SUPERCONDUCTING MATERIALS;

PHASE TRANSITIONS;

EID: 67650178062     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.79.061923     Document Type: Article

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