The cortex as a central pattern generator
- 1 June 2005
- journal article
- review article
- Published by Springer Nature in Nature Reviews Neuroscience
- Vol. 6 (6) , 477-483
- https://doi.org/10.1038/nrn1686
Abstract
Vertebrate spinal cord and brainstem central pattern generator (CPG) circuits share profound similarities with neocortical circuits. CPGs can produce meaningful functional output in the absence of sensory inputs. Neocortical circuits could be considered analogous to CPGs as they have rich spontaneous dynamics that, similar to CPGs, are powerfully modulated or engaged by sensory inputs, but can also generate output in their absence. We find compelling evidence for this argument at the anatomical, biophysical, developmental, dynamic and pathological levels of analysis. Although it is possible that cortical circuits are particularly plastic types of CPG ('learning CPGs'), we argue that present knowledge about CPGs is likely to foretell the basic principles of the organization and dynamic function of cortical circuits.Keywords
This publication has 87 references indexed in Scilit:
- Correlation Maps Allow Neuronal Electrical Properties to be Predicted from Single-cell Gene Expression Profiles in Rat NeocortexCerebral Cortex, 2004
- Central sensitization and LTP: do pain and memory share similar mechanisms?Published by Elsevier ,2003
- The motor infrastructure: from ion channels to neuronal networksNature Reviews Neuroscience, 2003
- Fast and Slow Locomotor Burst Generation in the Hemispinal Cord of the LampreyJournal of Neurophysiology, 2003
- Turning on and off recurrent balanced cortical activityNature, 2003
- Attractor dynamics of network UP states in the neocortexNature, 2003
- Cell Assembly Dynamics in Detailed and Abstract Attractor Models of Cortical Associative MemoryTheory in Biosciences, 2003
- Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on PerturbationsNeural Computation, 2002
- Book Review: On the Function of Dendritic SpinesThe Neuroscientist, 2001
- Dynamic predictions: Oscillations and synchrony in top–down processingNature Reviews Neuroscience, 2001