The DOI matches its Crossref record.
Neural Networks
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Moreover optical implementations have been viewed as optimal for neural networks, in the classical case, due to the low design cost of adding multiple connections (as light passes through light without interacting).39”
From Quantum generalisation of feedforward neural networks (2017) · cites this paper as [39]
Citations
Cited by
Sorted by citations
Maier, H. R., & Dandy, G. C. (2000) · Environmental Modelling & Software · doi:10.1016/s1364-8152(99)00007-9 · Cited by 2,432
Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning
Buzsáki, G. (2015) · Hippocampus · doi:10.1002/hipo.22488 · Cited by 1,759
Neural network computation with DNA strand displacement cascades
Qian, L., Winfree, E., & Bruck, J. (2011) · Nature · doi:10.1038/nature10262 · Cited by 1,082
The quest for a Quantum Neural Network
Schuld, M., Sinayskiy, I., & Petruccione, F. (2014) · Quantum Information Processing · doi:10.1007/s11128-014-0809-8 · Cited by 671
Adeli, H., & Jiang, X. (2008) · CRC Press eBooks · doi:10.1201/9781482281767-9 · Cited by 671
Metadata
- Authors
- Rojas, R.
- Affiliations
- Freie Universität Berlin (DE)
- Corresponding author
- Rojas, Raúl
- ORCID
- Rojas, Raúl
- Venue
- Springer eBooks
- Publisher
- Springer Berlin Heidelberg
- Published
- 1996
- OpenAlex
- W4241395986
- Cited by
- 810
- References
- 0
- Citations by year
- 2026: 15 · 2025: 20 · 2024: 24 · 2023: 40 · 2022: 38 · 2021: 50 · 2020: 47 · 2019: 47 · 2018: 61 · 2017: 51 · 2016: 62 · 2015: 53 · 2014: 49 · 2013: 28 · 2012: 35
- FWCI
- 1.07
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and ELM
- Keywords
- artificial neural networks, neural network theory, computational model, computing paradigms
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
