Network topologies for producing limited sustained activation (Kaiser and Hilgetag 2010)


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Accession:127192
Uses networks of cellular automata to test hypotheses about network topologies that can produce limited, sustained activity. Inspired by empirically-based ideas about neocortical architecture, but conceived and implemented at a level of abstraction that is not closely linked to empirical observations.
Reference:
1 . Kaiser M, Hilgetag CC (2010) Optimal hierarchical modular topologies for producing limited sustained activation of neural networks Front. Neuroinform.
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB (web link to model);
Model Concept(s): Activity Patterns; Connectivity matrix;
Implementer(s):
(located via links below)
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