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Neuromorphic engineering
Known as:
Neuromorphic
, Neuromorphic computing
, Neuromorphics
Neuromorphic engineering, also known as neuromorphic computing, is a concept developed by Carver Mead, in the late 1980s, describing the use of very…
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Related topics
Related topics
25 relations
Analog computer
Artificial neural network
BRAIN Initiative
Computer science
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Broader (1)
Electrical engineering
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Zinc Tin Oxide Synaptic Device for Neuromorphic Engineering
J. Ryu
,
Boram Kim
,
+11 authors
Sungjun Kim
IEEE Access
2020
Corpus ID: 220835013
Neuromorphic computing offers parallel data processing and low energy consumption and can be useful to replace conventional von…
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Review
2018
Review
2018
Neuromorphic Photonic Integrated Circuits
Hsuan-Tung Peng
,
M. Nahmias
,
T. F. de Lima
,
A. Tait
,
B. Shastri
IEEE Journal of Selected Topics in Quantum…
2018
Corpus ID: 49536273
This paper reviews some recent progress in the field of neuromorphic photonics, with a particular focus on scalability. We…
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Highly Cited
2018
Highly Cited
2018
An Artificial Neuron Based on a Threshold Switching Memristor
Xumeng Zhang
,
Wei Wang
,
+9 authors
Ming Liu
IEEE Electron Device Letters
2018
Corpus ID: 38412788
Artificial neurons and synapses are critical units for processing intricate information in neuromorphic systems. Memristors are…
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Highly Cited
2011
Highly Cited
2011
Hebbian Learning in Spiking Neural Networks With Nanocrystalline Silicon TFTs and Memristive Synapses
M. I. Kurtis D. Cantley
,
Member Ieee Anand Subramaniam
,
M. I. Harvey J. Stiegler
,
F. I. Richard A. Chapman
,
S. M. I. Eric M. Vogel
,
Lombardi K. D. Cantley
IEEE transactions on nanotechnology
2011
Corpus ID: 44029076
Characteristics similar to biological neurons are demonstrated in SPICE simulations of spiking neuron circuits comprised of…
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Highly Cited
2011
Highly Cited
2011
A Memristor Device Model
C. Yakopcic
,
T. Taha
,
G. Subramanyam
,
R. Pino
,
S. Rogers
IEEE Electron Device Letters
2011
Corpus ID: 32622303
This letter proposes a new mathematical model for memristor devices. It builds on existing models and is correlated against…
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Highly Cited
2008
Highly Cited
2008
Spike-timing-dependent learning in memristive nanodevices
G. Snider
IEEE International Symposium on Nanoscale…
2008
Corpus ID: 2652400
The neuromorphic paradigm is attractive for nanoscale computation because of its massive parallelism, potential scalability, and…
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Highly Cited
2000
Highly Cited
2000
Point-to-point connectivity between neuromorphic chips using address events
K. Boahen
2000
Corpus ID: 15184309
This paper discusses connectivity between neuromorphic chips, which use the timing of fixed-height fixed-width pulses to encode…
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Highly Cited
1998
Highly Cited
1998
Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
Nagendra Kumar
,
A. Andreou
Speech Communication
1998
Corpus ID: 28539506
Highly Cited
1997
Highly Cited
1997
Linear circuit fault diagnosis using neuromorphic analyzers
R. Spina
,
S. Upadhyaya
1997
Corpus ID: 62626016
This paper presents a method of analog fault diagnosis using neural networks. The primary focus of the paper is to provide robust…
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Review
1996
Review
1996
Neuro-control and its applications
M. Khalid
,
R. Yusof
1996
Corpus ID: 57856500
1 Introduction.- 1.1 Introduction to Intelligent Control.- 1.2 References.- 2 Neural Networks.- 2.1 Historical Review of Neural…
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