The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Information processing, dimensionality reduction and reinforcement learning in the basal ganglia
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Citations
Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Watkins, C. J. C. H., & Dayan, P. (1992) · Machine Learning · doi:10.1007/bf00992698 · Cited by 9,083
Reinforcement Learning: A Survey
Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996) · Journal of Artificial Intelligence Research · doi:10.1613/jair.301 · Cited by 8,972
Parallel organization of functionally segregated circuits linking basal ganglia and cortex
Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.09.030186.002041 · Cited by 8,527
Learning to predict by the methods of temporal differences
Sutton, R. S. (1988) · Machine Learning · doi:10.1007/bf00115009 · Cited by 5,148
Functional architecture of basal ganglia circuits: neural substrates of parallel processing
Alexander, G. E., & Crutcher, M. D. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90107-l · Cited by 4,131
Simplified neuron model as a principal component analyzer
Oja, E. (1982) · Journal of Mathematical Biology · doi:10.1007/bf00275687 · Cited by 2,309
Cited by
Balleine, B. W., & O'Doherty, J. P. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.131 · Cited by 1,775
Pathological synchronization in Parkinson's disease: networks, models and treatments
Hammond, C., Bergman, H., & Brown, P. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.05.004 · Cited by 1,629
Self-citationThe somatic marker hypothesis: A critical evaluation
Dunn, B. D., Dalgleish, T., & Lawrence, A. D. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2005.07.001 · Cited by 894
Hold your horses: a dynamic computational role for the subthalamic nucleus in decision making
Frank, M. J. (2006) · Neural Networks · doi:10.1016/j.neunet.2006.03.006 · Cited by 706
Different time courses of learning-related activity in the prefrontal cortex and striatum.
Pasupathy, A., & Miller, E. K. (2005) · Nature · doi:10.1038/nature03287 · Cited by 712
Metadata
- Authors
- Bar-Gad, I., Morris, G., & Bergman, H.
- Venue
- Progress in Neurobiology
- Publisher
- Elsevier BV
- Published
- 2003-12
- Volume
- 71
- Issue
- 6
- Pages
- 439-473
- ISSN
- 0301-0082 (ISSN-L)
- OpenAlex
- W2103670858
- Cited by
- 399
- References
- 27
- FWCI
- 7.46
- 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: Information processing, dimensionality reduction and reinforcement learning in the basal ganglia. https://app.cochat.ai/papers/10.1016/j.pneurobio.2003.12.001
- The paper
- Bar-Gad, I., Morris, G., & Bergman, H. (2003). Information processing, dimensionality reduction and reinforcement learning in the basal ganglia. Progress in Neurobiology. https://doi.org/10.1016/j.pneurobio.2003.12.001
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.
