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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 computerArtificial neural networkBRAIN InitiativeComputer science

Broader (1)

Electrical engineering

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Accelerating machine learning with Non-Volatile Memory: Exploring device and circuit tradeoffs
Large arrays of the same nonvolatile memories (NVM) being developed for Storage-Class Memory (SCM) - such as Phase Change Memory… 
Review
2013
Review
2013
A Proposal for Hybrid Memristor-CMOS Spiking Neuromorphic Learning Systems
Recent research in nanotechnology has led to the practical realization of nanoscale devices that behave as memristors, a device… 
2009
2009
Exploiting memristance in adaptive asynchronous spiking neuromorphic nanotechnology systems
In this paper we show that Spike-Time-Dependent-Plasticity (STDP), a powerful learning paradigm for spiking neural systems, can… 
Review
2005
Review
2005
Afterlife for silicon: CMOL circuit architectures
This is a brief review of our recent work on architectures for the prospective hybrid CMOS/nanowire/ nanodevice ("CMOL") circuits… 
Review
2003
Review
2003
Electronics Below 10 nm
Highly Cited
2003
Highly Cited
2003
CrossNets: possible neuromorphic networks based on nanoscale components
Extremely dense neuromorphic networks may be based on hybrid 2D arrays of nanoscale components, including molecular latching… 
2001
2001
A contribution to (neuromorphic) blind deconvolution by flexible approximated Bayesian estimation
1997
1997
Analog VLSI Stochastic Perturbative Learning Architectures
We present analog VLSI neuromorphic architectures fora general class of learning tasks, which include supervised learning… 
Highly Cited
1989
Highly Cited
1989
Emerging optical code-division multiple access communication systems
All-optical systems, which perform signal processing functions optically so that the signal conversion from optical to electrical… 
Highly Cited
1987
Highly Cited
1987
Stochastic Learning Networks and their Electronic Implementation
We describe a family of learning algorithms that operate on a recurrent, symmetrically connected, neuromorphic network that, like… 
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