most citedTraining and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors

3k citations · 3.1k across the 7 of their papers we have counts for

collaborators

7 papers

cs.ET20163 cited

Highly-Secure Physically Unclonable Cryptographic Primitives Using Nonlinear Conductance and Analog State Tuning in Memristive Crossbar Arrays

Hussein Nili, Gina C. Adam, Mirko Prezioso +4

The rapidly expanding hardware-intrinsic security primitives are aimed at addressing significant security challenges of a massively interconnected world in the age of information t…

cs.ET20168 cited

Advancing Memristive Analog Neuromorphic Networks: Increasing Complexity, and Coping with Imperfect Hardware Components

F. Merrikh Bayat, M. Prezioso, B. Chakrabarti +2

We experimentally demonstrate classification of 4x4 binary images into 4 classes, using a 3-layer mixed-signal neuromorphic network ("MLP perceptron"), based on two passive 20x20 m…

cs.ET2016

Temperature-Insensitive Analog Vector-by-Matrix Multiplier Based on 55 nm NOR Flash Memory Cells

X. Guo, F. Merrikh Bayat, M. Prezioso +4

We have fabricated and successfully tested an analog vector-by-matrix multiplier, based on redesigned 10x12 arrays of 55 nm commercial NOR flash memory cells. The modified arrays e…

cs.ET20166 cited

Sub-1-us, Sub-20-nJ Pattern Classification in a Mixed-Signal Circuit Based on Embedded 180-nm Floating-Gate Memory Cell Arrays

F. Merrikh Bayat, X. Guo, M. Klachko +3

We have designed, fabricated, and successfully tested a prototype mixed-signal, 28x28-binary-input, 10-output, 3-layer neuromorphic network ("MLP perceptron"). It is based on embed…

cs.ET201614 cited

A Reconfigurable FIR Filter with Memristor-Based Weights

F. Merrikh Bayat, F. Alibart, L. Gao +1

We report on experimental demonstration of a mixed-signal 6-tap finite-impulse response (FIR) filter in which weights are implemented with titanium dioxide memristive devices. In t…

cs.ET20143k cited

Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors

Mirko Prezioso, Farnood Merrikh-Bayat, Brian Hoskins +3

Despite all the progress of semiconductor integrated circuit technology, the extreme complexity of the human cerebral cortex makes the hardware implementation of neuromorphic netwo…