Advanced search
SenseLab
SimToolDB
ModelDB Help
User account
Login
Register
Find models by
Model name
First author
Each author
Region(circuits)
Find models for
Cell type
Current
Receptor
Gene
Transmitters
Concept
Simulators
Methods
Find models of
Realistic Networks
Neurons
Electrical synapses (gap junctions)
Chemical synapses
Ion channels
Neuromuscular junctions
Axons
Pathophysiology
Other resources
SenseLab mailing list
ModelDB related resources
Computational neuroscience ecosystem
Models in a git repository
Network topologies for producing limited sustained activation (Kaiser and Hilgetag 2010)
Help downloading and running models
Model Information
Model File
Citations
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)
Loading data, please wait...