The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
CMOS current mode winner-take-all circuit with both excitatory and inhibitory feedback
Abstract
A CMOS current-mode winner-take-all circuit is presented. Its operation is discussed and simulation results are reported. The circuit contains both excitatory and inhibitory feedback; as a result, the circuit has higher resolution and speed than an existing current-mode winner-take-all circuit.
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“Some studies proposed to implement the argmax() function via hardware128–148, which could be beneficial to reduce the total transistor count and power consumption while at the same time increasing the throughput.”
From Hardware implementation of memristor-based artificial neural networks (2024) · cites this paper as [135]
Citations
Cites
Winner-Take-All Networks of O(N) Complexity
Lazzaro, J., Ryckebusch, S., Mahowald, M. A., & Mead, C. A. (1988) · doi:10.21236/ada451466 · Cited by 582
A modular CMOS design of a Hamming network
Robinson, M. E., Yoneda, H., & Sánchez‐Sinencio, E. (1992) · IEEE Transactions on Neural Networks · doi:10.1109/72.129417 · Cited by 60
Synthetic neural systems using current-mode circuits
Andreou, A. G. (2002) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.1990.112501 · Cited by 24
Cited by
Sorted by citations
Hardware implementation of memristor-based artificial neural networks
Aguirre, F., Sebastian, A., Le Gallo, M., Song, W., Wang, T., Yang, J. J., Lu, W., Chang, M.-F., Ielmini, D., Yang, Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-45670-9 · Cited by 564
Serb, A., Bill, J., Khiat, A., Berdan, R., Legenstein, R. A., & Prodromakis, T. (2016) · Nature Communications · doi:10.1038/ncomms12611 · Cited by 340
Computation with Spikes in a Winner-Take-All Network
Oster, M., Douglas, R. J., & Liu, S. (2009) · Neural Computation · doi:10.1162/neco.2009.07-08-829 · Cited by 114
Biophysiologically Plausible Implementations of the Maximum Operation
Yu, A. J., Giese, M. A., & Poggio, T. (2002) · Neural Computation · doi:10.1162/089976602760805313 · Cited by 96
Neuromorphic analog VLSI sensor for visual tracking: circuits and application examples
Indiveri, G. (1999) · IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing · doi:10.1109/82.803473 · Cited by 90
Metadata
- Authors
- Starzyk, J. A., & Fang, X.
- Affiliations
- Ohio University (US)
- ORCID
- Starzyk, J.A.
- Venue
- Electronics Letters
- Published
- 1993-05-13
- Volume
- 29
- Issue
- 10
- Pages
- 908-910
- ISSN
- 0013-5194 (ISSN-L)
- 1350-911X
- OpenAlex
- W1977544739
- Cited by
- 75
- References
- 3
- Citations by year
- 2025: 1 · 2024: 1 · 2022: 3 · 2018: 2 · 2016: 3 · 2015: 2 · 2014: 2
- FWCI
- 2.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Electronics Letters (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Low-power high-performance VLSI design
- Keywords
- winner-take-all circuit, current-mode circuits, CMOS circuits, inhibitory feedback, neural network circuits
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