The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Stochastic dynamics as a principle of brain function
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Citations
Cites
Neural correlates of decision variables in parietal cortex
Platt, M. L., & Glimcher, P. W. (1999) · Nature · doi:10.1038/22268 · Cited by 1,721
Toward a modern theory of adaptive networks: Expectation and prediction.
Sutton, R. S., & Barto, A. G. (1981) · Psychological Review · doi:10.1037/0033-295x.88.2.135 · Cited by 1,450
Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory
Wang, X.-J. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-21-09587.1999 · Cited by 859
Neural computation of log likelihood in control of saccadic eye movements
Carpenter, R. H. S., & Williams, M. L. L. (1995) · Nature · doi:10.1038/377059a0 · Cited by 823
Neuronal correlates of parametric working memory in the prefrontal cortex
Romo, R., Brody, C. D., Hernández, A., & Lemus, L. (1999) · Nature · doi:10.1038/20939 · Cited by 822
Self-citationMotion perception: seeing and deciding.
Shadlen, M. N., & Newsome, W. T. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.2.628 · Cited by 723
Decision-making with multiple alternatives
Churchland, A. K., Kiani, R., & Shadlen, M. N. (2008) · Nature Neuroscience · doi:10.1038/nn.2123 · Cited by 671
Brunel, N., & Wang, X.-J. (2001) · Journal of Computational Neuroscience · doi:10.1023/a:1011204814320 · Cited by 620
Bridging emotion theory and neurobiology through dynamic systems modeling
Lewis, M. D. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0500004x · Cited by 618
A computational theory of hippocampal function, and empirical tests of the theory
Rolls, E. T., & Kesner, R. P. (2006) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2006.04.005 · Cited by 608
Self-citation
Cited by
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
Carhart-Harris, R. L., Leech, R., Hellyer, P. J., Shanahan, M., Feilding, A., Tagliazucchi, E., Chialvo, D. R., & Nutt, D. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00020 · Cited by 1,252
Neuronal Reward and Decision Signals: From Theories to Data
Schultz, W. (2015) · Physiological Reviews · doi:10.1152/physrev.00023.2014 · Cited by 1,126
The cingulate cortex and limbic systems for emotion, action, and memory
Rolls, E. T. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01945-2 · Cited by 859
Self-citationValue, pleasure and choice in the ventral prefrontal cortex
Grabenhorst, F., & Rolls, E. T. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.12.004 · Cited by 766
Self-citation
Metadata
- Authors
- Deco, G., Rolls, E. T., & Romo, R.
- Venue
- Progress in Neurobiology
- Publisher
- Elsevier BV
- Published
- 2009-05
- Volume
- 88
- Issue
- 1
- Pages
- 1-16
- ISSN
- 0301-0082 (ISSN-L)
- OpenAlex
- W2035482871
- Cited by
- 382
- References
- 15
- FWCI
- 9.74
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Stochastic dynamics as a principle of brain function. https://app.cochat.ai/papers/10.1016/j.pneurobio.2009.01.006
- The paper
- Deco, G., Rolls, E. T., & Romo, R. (2009). Stochastic dynamics as a principle of brain function. Progress in Neurobiology. https://doi.org/10.1016/j.pneurobio.2009.01.006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.