Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types
In a network with a mixture of different electrophysiologicaltypes of neurons linked by excitatory and inhibitory connections,temporal evolution leads through repeated epochs of intensive global activity separated by intervals with low activity level. This behavior mimics ``up'' and ``down...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2016-03-01
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| Series: | Frontiers in Computational Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00023/full |