The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A silicon model of early visual processing
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Citations
Cites
The contrast sensitivity of retinal ganglion cells of the cat
Enroth-Cugell, C., & Robson, J. G. (1966) · The Journal of Physiology · doi:10.1113/jphysiol.1966.sp008107 · Cited by 2,625
Organization of the retina of the mudpuppy, Necturus maculosus. II. Intracellular recording.
Werblin, F. S., & Dowling, J. E. (1969) · Journal of Neurophysiology · doi:10.1152/jn.1969.32.3.339 · Cited by 1,381
Predictive coding: a fresh view of inhibition in the retina
Srinivasan, M. V., Laughlin, S. B., & Dubs, A. (1982) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1982.0085 · Cited by 1,042
Nelson, R. (1977) · Journal of Comparative Neurology · doi:10.1002/cne.901720106 · Cited by 327
Control of Retinal Sensitivity
Werblin, F. S. (1974) · The Journal of General Physiology · doi:10.1085/jgp.63.1.62 · Cited by 211
Cited by
Neuromorphic electronic systems
Mead, C. (1990) · Proceedings of the IEEE · doi:10.1109/5.58356 · Cited by 2,368
Self-citationOrganic Photodiodes: The Future of Full Color Detection and Image Sensing
Jansen‐van Vuuren, R. D., Armin, A., Pandey, A. K., Burn, P. L., & Meredith, P. (2016) · Advanced Materials · doi:10.1002/adma.201505405 · Cited by 819
Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook
Davies, M., Wild, A., Orchard, G., Sandamirskaya, Y., Guerra, G. A. F., Joshi, P., Plank, P., & Risbud, S. R. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3067593 · Cited by 688
Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor
Wang, C.-Y., Liang, S.-J., Wang, S., Wang, P., Li, Z., Wang, Z., Gao, A., Pan, C., Liu, C., Liu, J., et al. (2020) · Science Advances · doi:10.1126/sciadv.aba6173 · Cited by 452
The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity
Pehle, C., Billaudelle, S., Cramer, B., Kaiser, J., Schreiber, K., Stradmann, Y., Weis, J., Leibfried, A., Müller, E., & Schemmel, J. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.795876 · Cited by 233
Metadata
- Authors
- Mead, C. A., & Mahowald, M. A.
- Venue
- Neural Networks
- Publisher
- Elsevier BV
- Published
- 1988-01
- Volume
- 1
- Issue
- 1
- Pages
- 91-97
- ISSN
- 0893-6080 (ISSN-L)
- OpenAlex
- W2022060843
- Cited by
- 503
- References
- 5
- FWCI
- 26.58
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A silicon model of early visual processing. https://app.cochat.ai/papers/10.1016/0893-6080(88)90024-x
- The paper
- Mead, C. A., & Mahowald, M. A. (1988). A silicon model of early visual processing. Neural Networks. https://doi.org/10.1016/0893-6080(88)90024-x
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.
