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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
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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.
2009
2009
Exploiting memristance in adaptive asynchronous spiking neuromorphic nanotechnology systems
B. Linares-Barranco
,
T. Serrano-Gotarredona
International Conference on Nanotechnology
2009
Corpus ID: 43130567
In this paper we show that Spike-Time-Dependent-Plasticity (STDP), a powerful learning paradigm for spiking neural systems, can…
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Review
2005
Review
2005
Afterlife for silicon: CMOL circuit architectures
Xialong Ma
,
D. Strukov
,
Jung Hoon Lee
,
Konstantin K. Likharev
5th IEEE Conference on Nanotechnology, .
2005
Corpus ID: 19782533
This is a brief review of our recent work on architectures for the prospective hybrid CMOS/nanowire/ nanodevice ("CMOL") circuits…
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Highly Cited
2003
Highly Cited
2003
CrossNets: possible neuromorphic networks based on nanoscale components
Özgür Türel
,
K. Likharev
International journal of circuit theory and…
2003
Corpus ID: 3983530
Extremely dense neuromorphic networks may be based on hybrid 2D arrays of nanoscale components, including molecular latching…
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Review
2003
Review
2003
Electronics Below 10 nm
K. Likharev
2003
Corpus ID: 15153748
1997
1997
Analog VLSI Stochastic Perturbative Learning Architectures
G. Cauwenberghs
1997
Corpus ID: 3057659
We present analog VLSI neuromorphic architectures fora general class of learning tasks, which include supervised learning…
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1996
1996
Analog VLSI Circuits for Attention-Based, Visual Tracking
T. Horiuchi
,
T. Morris
,
C. Koch
,
S. DeWeerth
Neural Information Processing Systems
1996
Corpus ID: 14879026
A one-dimensional visual tracking chip has been implemented using neuromorphic, analog VLSI techniques to model selective visual…
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1989
1989
A neuromorphic controller for a three-link biped robot
H. Wang
,
T. Lee
,
W. Gruver
International Joint Conference on Neural…
1989
Corpus ID: 18446465
Summary form only given, as follows. A neural network architecture is developed for the control of a three-link biped walking…
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Highly Cited
1989
Highly Cited
1989
Microwave diversity imaging and automated target identification based on models of neural networks
N. Farhat
Proceedings of the IEEE
1989
Corpus ID: 61400093
Radar targets can be identified by either forming images with sufficient resolution to be recognized by the human observer or by…
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Highly Cited
1988
Highly Cited
1988
A trainable neuromorphic controller
A. Guez
,
J. Selinsky
1988
Corpus ID: 118838397
On montre que les caracteristiques de calcul (telles la rapidite, le temps reel et la robustesse des performances) des reseaux…
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Highly Cited
1987
Highly Cited
1987
Stochastic Learning Networks and their Electronic Implementation
J. Alspector
,
R. Allen
,
V. Hu
,
S. Satyanarayana
Neural Information Processing Systems
1987
Corpus ID: 15353530
We describe a family of learning algorithms that operate on a recurrent, symmetrically connected, neuromorphic network that, like…
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