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2015, Frontiers Research Topics, ISBN 9782889194544
Web Resource
2015, Frontiers Research Topics, ISBN 9782889194544
Web Resource
2017, ISBN 1351987607, xxxiii, 412 pages
Book
2013, Frontiers in neuroengineering, ISBN 143987171X
Web Resource
2012, Springer series in cognitive and neural systems, ISBN 9400744900, Volume 4
Web Resource
IEEE Electron Device Letters, ISSN 0741-3106, 08/2016, Volume 37, Issue 8, pp. 994 - 997
We analyze the response of identical pulses on a filamentary resistive memory (RRAM) to implement the synapse function in neuromorphic systems. Our findings... 
Electrodes | Neuromorphic system | Neuromorphics | Neurons | potentiation | Switches | Tin | Hafnium compounds | Pattern recognition | resistive memory (RRAM) | synaptic behavior | MEMORY | SYNAPSES | DEVICE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Electron Device Letters, ISSN 0741-3106, 08/2017, Volume 38, Issue 8, pp. 1019 - 1022
Analog RRAM with hundreds of resistance levels is an attractive device for neuromorphic computing. However, it is still very challenging to realize good analog... 
Analog RRAM | Neuromorphics | Pulse measurements | Current measurement | Switches | Conductivity | Thermal conductivity | Hafnium compounds | synapse | neuromorphic computing | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Electron Device Letters, ISSN 0741-3106, 12/2016, Volume 37, Issue 12, pp. 1559 - 1562
We propose TiO x -based resistive switching device for neuromorphic synapse applications. This device is capable of 64-levels conductance states because of... 
Electrodes | Neuromorphics | Neurons | resistive RAM | Switches | Neuromorphic computing | Programming | Tiox | Pattern recognition | Biological neural networks | synaptic devices | TiOx | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Journal Article
2016 International Joint Conference on Neural Networks (IJCNN), 07/2016, Volume 2016-, pp. 1305 - 1309
Using deep neural networks on resource constrained devices is a trending topic in neural network research. Various techniques for compressing neural networks... 
Neuromorphics
Conference Proceeding
Computer, ISSN 0018-9162, 03/2018, Volume 51, Issue 3, pp. 52 - 61
Loihi is Intel's novel, manycore neuromorphic processor and is the first of its kind to feature a microcode-programmable learning engine that enables on-chip... 
Neuromorphic engineering | Computational modeling | neuromorphic processor | neural networks | Programming | spiking neural networks | programming paradigms | Mathematical model | Synapses | neuromorphic computing | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Journal Article
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ISSN 0278-0070, 12/2018, pp. 1 - 1
Neuromorphic chip with RRAM devices has been demonstrated as a promising computing platform for neural network-based applications. By directly mapping the... 
Neuromorphics | Neurons | Emulation | Memristors | Neuromorphic computing | FPGA emulation | Hardware | RRAM | spiking neural network | Biological neural networks
Journal Article
Journal of Neural Engineering, ISSN 1741-2560, 08/2016, Volume 13, Issue 5, p. 051001
Neuromorphic computing covers a diverse range of approaches to information processing all of which demonstrate some degree of neurobiological inspiration that... 
large-scale neuromorphics | neuromorphic systems | brain-inspired computing | NETWORK | ENGINEERING, BIOMEDICAL | SPINNAKER | NEUROSCIENCES | Computer Simulation | Humans | Computational Biology | Software | Models, Neurological | Brain - physiology | Neural Networks (Computer)
Journal Article
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