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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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Papers overview

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2009
2009
In this paper we show that Spike-Time-Dependent-Plasticity (STDP), a powerful learning paradigm for spiking neural systems, can… 
Review
2005
Review
2005
This is a brief review of our recent work on architectures for the prospective hybrid CMOS/nanowire/ nanodevice ("CMOL") circuits… 
Highly Cited
2003
Highly Cited
2003
Extremely dense neuromorphic networks may be based on hybrid 2D arrays of nanoscale components, including molecular latching… 
Review
2003
Review
2003
1997
1997
We present analog VLSI neuromorphic architectures fora general class of learning tasks, which include supervised learning… 
1996
1996
A one-dimensional visual tracking chip has been implemented using neuromorphic, analog VLSI techniques to model selective visual… 
1989
1989
Summary form only given, as follows. A neural network architecture is developed for the control of a three-link biped walking… 
Highly Cited
1989
Highly Cited
1989
Radar targets can be identified by either forming images with sufficient resolution to be recognized by the human observer or by… 
Highly Cited
1988
Highly Cited
1988
On montre que les caracteristiques de calcul (telles la rapidite, le temps reel et la robustesse des performances) des reseaux… 
Highly Cited
1987
Highly Cited
1987
We describe a family of learning algorithms that operate on a recurrent, symmetrically connected, neuromorphic network that, like…