Encyclopedia of Computational Neuroscience

Living Edition
| Editors: Dieter Jaeger, Ranu Jung

Slow Oscillations: Models

  • Albert CompteEmail author
Living reference work entry
DOI: https://doi.org/10.1007/978-1-4614-7320-6_307-1



Several computational models have been proposed to describe the generation of spontaneous slow oscillations, or up and down state dynamics, in neuronal circuits of the cerebral cortex. Most models rely on strong excitatory feedback to generate reverberatory dynamics in the up state, which are then quenched by some negative feedback mechanism to form down states. The specific mechanisms responsible for triggering the transitions between up and down states distinguish these models. In addition, some models have been proposed that emphasize the role of thalamocortical loops in generating this spontaneous activity.

Detailed Description

During non-REM sleep and under most anesthetics, cortical network dynamics exhibit slow oscillations or up and down state switching (see Slow-Oscillations: Physiology). This pattern of activity has been the subject of numerous computational models, which have formulated quantitative accounts of the possible...


Firing Rate Cortical Network Slow Oscillation Persistent Sodium Current Thalamocortical Neuron 
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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Systems NeuroscienceIDIBAPSBarcelonaSpain