The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Links from complex spikes to local plasticity and motor learning in the cerebellum of awake-behaving monkeys
Open accessAbstract
The hypothesis of cerebellar learning proposes that complex spikes in Purkinje cells engage mechanisms of plasticity in the cerebellar cortex; in turn, changes in the cerebellum depress the simple-spike response of Purkinje cells to a given stimulus and cause the adaptive modification of a motor behavior. Many elements of this hypothesis have been supported by prior experiments, and correlations have been found between complex spikes, simple-spike plasticity and behavior during the learning process. We carried out a trial-by-trial analysis of Purkinje cell responses in awake-behaving monkeys and found evidence for a causal role for complex spikes in the induction of cerebellar plasticity during a simple motor learning task. We found that the presence of a complex spike on one learning trial was linked to a substantial depression of simple-spike responses on the subsequent trial, at a time when behavioral learning was expressed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Handbook of brain theory and neural networks
(1996) · Choice Reviews Online · doi:10.5860/choice.33-4484 · Cited by 3,870
Marr, D. (1969) · The Journal of Physiology · doi:10.1113/jphysiol.1969.sp008820 · Cited by 3,253
The Cerebellum as a Neuronal Machine
Eccles, J. C., Ito, M., & Szentágothai, J. (1967) · Springer eBooks · doi:10.1007/978-3-662-13147-3 · Cited by 3,212
A theory of cerebellar function
Albus, J. S. (1971) · Mathematical Biosciences · doi:10.1016/0025-5564(71)90051-4 · Cited by 2,539
The cerebellum and neural control
Ito, M. (1984) · Cited by 2,314
The cerebellum and neural control
Tindall, S. C. (1985) · Surgical Neurology · doi:10.1016/0090-3019(85)90320-9 · Cited by 1,754
A hierarchical neural-network model for control and learning of voluntary movement
Kawato, M., Furukawa, K., & Suzuki, R. (1987) · Biological Cybernetics · doi:10.1007/bf00364149 · Cited by 1,573
The Handbook of brain theory and neural networks
(2003) · Choice Reviews Online · doi:10.5860/choice.41-0300 · Cited by 1,524
Forward models: supervised learning with a distal teacher
Jordan, M. I., & Rumelhart, D. E. (1992) · Cognitive Science · doi:10.1207/s15516709cog1603_1 · Cited by 1,451
Cerebellar Long-Term Depression: Characterization, Signal Transduction, and Functional Roles
Ito, M. (2001) · Physiological Reviews · doi:10.1152/physrev.2001.81.3.1143 · Cited by 840
Cited by
Diedrichsen, J., King, M., Hernandez-Castillo, C., Sereno, M., & Ivry, R. B. (2019) · Neuron · doi:10.1016/j.neuron.2019.04.021 · Cited by 281
Kostadinov, D., Beau, M., Blanco-Pozo, M., & Häusser, M. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0381-8 · Cited by 255
Peters (2010) · doi:10.1016/j.neuron.2010.03.027 · Cited by 244
Cerebellar contribution to preparatory activity in motor neocortex
Chabrol, F. P., Blot, A., & Mrsic-Flogel, T. D. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.022 · Cited by 182
Neural circuitry and plasticity mechanisms underlying delay eyeblink conditioning
Freeman, J. H., & Steinmetz, A. B. (2011) · Learning & Memory · doi:10.1101/lm.2023011 · Cited by 167
Metadata
- Authors
- Medina, J. F., & Lisberger, S. G.
- Venue
- Nature Neuroscience
- Published
- 2008-09-21
- Volume
- 11
- Issue
- 10
- Pages
- 1185-1192
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- OpenAlex
- W2097105997
- Cited by
- 286
- References
- 53
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Links from complex spikes to local plasticity and motor learning in the cerebellum of awake-behaving monkeys. https://app.cochat.ai/papers/10.1038/nn.2197
- The paper
- Medina, J. F., & Lisberger, S. G. (2008). Links from complex spikes to local plasticity and motor learning in the cerebellum of awake-behaving monkeys. Nature Neuroscience. https://doi.org/10.1038/nn.2197
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.
