The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Timing in the Absence of Clocks: Encoding Time in Neural Network States
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Citations
Cites
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
Transformed Up-Down Methods in Psychoacoustics
Levitt, H. (1971) · The Journal of the Acoustical Society of America · doi:10.1121/1.1912375 · Cited by 5,477
Short-Term Synaptic Plasticity
Zucker, R. S., & Regehr, W. G. (2002) · Annual Review of Physiology · doi:10.1146/annurev.physiol.64.092501.114547 · Cited by 5,068
Maass, W., Natschläger, T., & Markram, H. (2002) · Neural Computation · doi:10.1162/089976602760407955 · Cited by 4,025
Speech Recognition with Primarily Temporal Cues
Shannon, R. V., Zeng, F.-G., Kamath, V., Wygonski, J., & Ekelid, M. (1995) · Science · doi:10.1126/science.270.5234.303 · Cited by 3,024
Synaptic Plasticity and Memory: An Evaluation of the Hypothesis
Martin, S. J., Grimwood, P. D., & Morris, R. G. M. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.649 · Cited by 2,794
Scalar expectancy theory and Weber's law in animal timing.
Gibbon, J. (1977) · Psychological Review · doi:10.1037//0033-295x.84.3.279 · Cited by 2,221
What makes us tick? Functional and neural mechanisms of interval timing
Buhusi, C. V., & Meck, W. H. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1764 · Cited by 2,062
Treisman, M. (1963) · Psychological Monographs: General and Applied · doi:10.1037/h0093864 · Cited by 1,474
Short-Term Synaptic Plasticity
Zucker, R. S. (1989) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.12.030189.000305 · Cited by 1,447
Cited by
Reservoir computing approaches to recurrent neural network training
Lukoševičius, M., & Jaeger, H. (2009) · Computer Science Review · doi:10.1016/j.cosrev.2009.03.005 · Cited by 2,956
Computation Through Neural Population Dynamics
Vyas, S., Golub, M. D., Sussillo, D., & Shenoy, K. V. (2020) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-092619-094115 · Cited by 671
The image of time: A voxel-wise meta-analysis
Wiener, M., Turkeltaub, P., & Coslett, H. B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.064 · Cited by 594
Dedicated and intrinsic models of time perception
Ivry, R. B., & Schlerf, J. E. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.04.002 · Cited by 615
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
Self-citation
Metadata
- Authors
- Karmarkar, U. R., & Buonomano, D. V.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2007-02
- Volume
- 53
- Issue
- 3
- Pages
- 427-438
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2094919375
- Cited by
- 577
- References
- 68
- FWCI
- 14.23
- Type
- journal article
- Language
- en
- Open access
- bronze
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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: Timing in the Absence of Clocks: Encoding Time in Neural Network States. https://app.cochat.ai/papers/10.1016/j.neuron.2007.01.006
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- Karmarkar, U. R., & Buonomano, D. V. (2007). Timing in the Absence of Clocks: Encoding Time in Neural Network States. Neuron. https://doi.org/10.1016/j.neuron.2007.01.006
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.
