Memristor-based neural networks: Synaptic versus neuronal stochasticity
نویسندگان
چکیده
منابع مشابه
Memristor-based neural networks
The synapse is a crucial element in biological neural networks, but a simple electronic equivalent has been absent. This complicates the development of hardware that imitates biological architectures in the nervous system. Now, the recent progress in the experimental realization of memristive devices has renewed interest in artificial neural networks. The resistance of a memristive system depen...
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Memristor-based oscillator is becoming promising thanks to its inherent NDR (Negative Differential Region) property and compact circuit structure. This paves the way to the large scale oscillatory neural network (ONN) and the realization of pattern recognition based on its global synchronization. However, the simulation of large scale ONN encounters the problem of long simulation time because o...
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Neuromorphic computing — brainlike computing in hardware — typically requires myriad CMOS spiking neurons interconnected by a dense mesh of nanoscale plastic synapses. Memristors are frequently cited as strong synapse candidates due to their statefulness and potential for low-power implementations. To date, plentiful research has focused on the bipolar memristor synapse, which is capable of inc...
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Carlo Baldassi,1, 2, 3 Federica Gerace,2, 4 Hilbert J. Kappen,5 Carlo Lucibello,2, 4 Luca Saglietti,2, 4 Enzo Tartaglione,2, 4 and Riccardo Zecchina1, 2, 6 Bocconi Institute for Data Science and Analytics, Bocconi University, Milano, Italy Italian Institute for Genomic Medicine, Torino, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Italy Dept. of Applied Science and Technology...
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ژورنال
عنوان ژورنال: AIP Advances
سال: 2016
ISSN: 2158-3226
DOI: 10.1063/1.4967352