The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A model of Pavlovian eyelid conditioning based on the synaptic organization of the cerebellum.
Open accessAbstract
We present a model based on the synaptic and cellular organization of the cerebellum to derive a diverse range of phenomena observed in Pavlovian eyelid conditioning. These phenomena are addressed in terms of critical pathways and network properties, as well as the sites and rules for synaptic plasticity. The theory is based on four primary hypotheses: (1) Two cerebellar sites of plasticity are involved in conditioning: (a) bidirectional long-term depression/potentiation at granule cell synapses onto Purkinje cells (gr-->Pkj) in the cerebellar cortex and (b) bidirectional plasticity in the interpositus nucleus that is controlled by inhibitory inputs from Purkinje cells; (2) climbing fiber activity is regulated to an equilibrium level at which the net strength of gr-->Pkj synapses remains constant unless an unexpected unconditioned stimulus (US) is presented or an expected US is omitted; (3) a time-varying representation of the conditioned stimulus (CS) in the cerebellar cortex permits the temporal discrimination required for conditioned response timing; and (4) the ability of a particular segment of the CS to be represented consistently across trials varies as a function of time since CS onset. This variation in across-trials consistency is thought to contribute to the ISI function. The model suggests several empirically testable predictions, some of which have been tested recently.
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Cites
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A theory of attention: Variations in the associability of stimuli with reinforcement
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A theory of cerebellar function
Albus, J. S. (1971) · Mathematical Biosciences · doi:10.1016/0025-5564(71)90051-4 · Cited by 2,539
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Cited by
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Ito, M. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2332 · Cited by 1,356
The neural basis of temporal processing
Mauk, M. D., & Buonomano, D. V. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144247 · Cited by 976
Self-citationBehavioral and Neural Analysis of Extinction
Myers, K. M., & Davis, M. (2002) · Neuron · doi:10.1016/s0896-6273(02)01064-4 · Cited by 918
Cerebellar circuitry as a neuronal machine
Ito, M. (2006) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2006.02.006 · Cited by 880
Robust timing and motor patterns by taming chaos in recurrent neural networks
Laje, R., & Buonomano, D. V. (2013) · Nature Neuroscience · doi:10.1038/nn.3405 · Cited by 454
Metadata
- Authors
- Mauk, M. D., & Donegan, N. H.
- Venue
- Learning & Memory
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 1997
- Volume
- 4
- Issue
- 1
- Pages
- 130-158
- ISSN
- 1072-0502 (ISSN-L)
- 1549-5485
- OpenAlex
- W2160634623
- Cited by
- 266
- References
- 5
- Type
- posted content
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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