Title | ||
---|---|---|
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP). |
Abstract | ||
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Mimicking the cognitive functions of the brain in hardware is a primary challenge for several fields, including device physics, neuromorphic engineering, and biological neuroscience. A key element in cognitive hardware systems is the ability to learn via biorealistic plasticity rules, combined with the area scaling capability to enable integration of high-density neuron/synapse networks. To this p... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TVLSI.2018.2818978 | IEEE Transactions on Very Large Scale Integration (VLSI) Systems |
Keywords | Field | DocType |
Synapses,Logic gates,Training,Frequency measurement,Switches,Hardware,Neurons | Logic gate,Computer science,Neuromorphic engineering,CMOS,Electronic engineering,Unsupervised learning,Resistor,Artificial neural network,Integrated circuit,Resistive random-access memory | Journal |
Volume | Issue | ISSN |
26 | 12 | 1063-8210 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Valerio Milo | 1 | 2 | 1.06 |
Giacomo Pedretti | 2 | 1 | 1.36 |
Roberto Carboni | 3 | 1 | 0.69 |
Alessandro Calderoni | 4 | 1 | 1.02 |
Nirmal Ramaswamy | 5 | 1 | 1.36 |
Stefano Ambrogio | 6 | 33 | 5.83 |
Daniele Ielmini | 7 | 15 | 9.64 |