The DOI matches its Crossref record; 106 of the 107 references it cites were found in a registry or an index.
The cortex as a central pattern generator
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.
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In the citing paper
“Yuste and colleagues recently suggested that the wiring diagram of the neocortical network is analogous to pattern generator circuits [218]”
From Consensus Paper: Pathological Role of the Cerebellum in Autism (2012) · cites this paper as [218]
In the citing paper
“Even within the cortex itself, microcircuitry within different areas may be specialized: tinkered variations on a common ancestral microcircuit scaffold could potentially allow different cortical areas, such as sensory areas vs. prefrontal areas, to be configured to adopt a number of qualitatively distinct computational and learning configurations (Yuste et al., 2005; Marcus et al., 2014a,b), even”
From Toward an integration of deep learning and neuroscience (2016) · cites this paper as Yuste et al., 2005
In the citing paper
“Central pattern generator circuits provide an example of the kinds of architectures that can be pre-wired into neural microcircuitry, and may have evolutionary relationships with cortical circuits (Yuste et al., 2005).”
From Toward an integration of deep learning and neuroscience (2016) · cites this paper as Yuste et al., 2005
Citations
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The brain's default mode network
Raichle, M. E. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014030 · Cited by 3,904
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Central pattern generators for locomotion control in animals and robots: A review
Ijspeert, A. J. (2008) · Neural Networks · doi:10.1016/j.neunet.2008.03.014 · Cited by 1,896
Neural population dynamics during reaching
Churchland, M. M., Cunningham, J. P., Kaufman, M. T., Foster, J. D., Nuyujukian, P., Ryu, S. I., & Shenoy, K. V. (2012) · Nature · doi:10.1038/nature11129 · Cited by 1,704
Metadata
- Authors
- Yuste, R., MacLean, J. N., Smith, J., & Lansner, A.
- Affiliations
- Columbia University (US)
- National Institutes of Health (US)
- Stockholm University (SE)
- Corresponding author
- Yuste, Rafael
- Venue
- Nature Reviews Neuroscience
- Published
- 2005-06-01
- Volume
- 6
- Issue
- 6
- Pages
- 477-483
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W1481508412
- Cited by
- 355
- References
- 107
- Citations by year
- 2026: 10 · 2025: 16 · 2024: 14 · 2023: 16 · 2022: 14 · 2021: 11 · 2020: 12 · 2019: 34 · 2018: 16 · 2017: 13 · 2016: 17 · 2015: 15 · 2014: 21 · 2013: 10 · 2012: 20
- FWCI
- 1.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- central pattern generator, neocortex, cortical circuits, spinal cord, brainstem, spontaneous activity, cortical plasticity
- MeSH terms
- Animals, Cerebral Cortex, Humans, Nerve Net
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