Search Results - "Bayat, F. Merrikh"

Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits by Prezioso, M., Mahmoodi, M. R., Bayat, F. Merrikh, Nili, H., Kim, H., Vincent, A., Strukov, D. B.

“…Spiking neural networks, the most realistic artificial representation of biological nervous systems, are promising due to their inherent local training rules…”
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Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits by Bayat, F. Merrikh, Prezioso, M., Chakrabarti, B., Nili, H., Kataeva, I., Strukov, D.

“…The progress in the field of neural computation hinges on the use of hardware more efficient than the conventional microprocessors. Recent works have shown…”
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Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors by Prezioso, M., Merrikh Bayat, F., Hoskins, B., Likharev, K., Strukov, D.

“…Metal-oxide memristors have emerged as promising candidates for hardware implementation of artificial synapses – the key components of high-performance, analog…”
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Training and operation of an integrated neuromorphic network based on metal-oxide memristors by Prezioso, M., Merrikh-Bayat, F., Hoskins, B. D., Adam, G. C., Likharev, K. K., Strukov, D. B.

“…A transistor-free metal-oxide memristor crossbar with low device variability is realised and trained to perform a simple classification task, opening the way…”
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Training andoperation of an integrated neuromorphic network based on metal-oxide memristors by Prezioso, M, Merrikh-Bayat, F, Hoskins, B D, Adam, G C, Likharev, K K, Strukov, D B

“…Despite much progress in semiconductor integrated circuit technology, the extreme complexity of the human cerebral cortex, with its approximately 10^sup 14^…”
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Phenomenological modeling of memristive devices by Merrikh Bayat, F., Hoskins, B., Strukov, D. B.

“…We present a computationally inexpensive yet accurate phenomenological model of memristive behavior in titanium dioxide devices by fitting experimental data…”
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The runner-root algorithm: A metaheuristic for solving unimodal and multimodal optimization problems inspired by runners and roots of plants in nature by Merrikh-Bayat, F.

“…•A new optimization algorithm inspired by the plants propagated through runners is proposed.•Global search with random large steps is performed at all…”
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Modeling and implementation of firing-rate neuromorphic-network classifiers with bilayer Pt/Al2O3/TiO2−x/Pt Memristors by Prezioso, M., Kataeva, I., Merrikh-Bayat, F., Hoskins, B., Adam, G., Sota, T., Likharev, K., Strukov, D.

“…Neuromorphic pattern classifiers were implemented, for the first time, using transistor-free integrated crossbar circuits with bilayer metal-oxide memristors…”
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Temperature-insensitive analog vector-by-matrix multiplier based on 55 nm NOR flash memory cells by Guo, X., Bayat, F. Merrikh, Prezioso, M., Chen, Y., Nguyen, B., Do, N., Strukov, D. B.

“…We have fabricated and successfully tested an analog vector-by-matrix multiplier, based on redesigned 10×12 arrays of 55 nm commercial NOR flash memory cells…”
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Spiking neuromorphic networks with metal-oxide memristors by Prezioso, M., Zhong, Y., Gavrilov, D., Merrikh-Bayat, F., Hoskins, B., Adam, G., Likharev, K., Strukov, D.

“…This is a brief review of our recent work on memristor-based spiking neuromorphic networks. We first describe the recent experimental demonstration of several…”
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Memristor Crossbar-Based Hardware Implementation of the IDS Method by Merrikh-Bayat, F., Shouraki, S. B., Rohani, A.

“…Ink drop spread (IDS) is the engine of an active learning method, which is the methodology of soft computing. IDS, as a pattern-based processing unit, extracts…”
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Model-based high-precision tuning of NOR flash memory cells for analog computing applications by Bayat, F. Merrikh, Guo, X., Klachko, M., Do, N., Likharev, K., Strukov, D.

“…High-precision individual cell tuning was experimentally demonstrated, for the first time, in analog integrated circuits redesigned from a commercial NOR flash…”
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Redesigning commercial floating-gate memory for analog computing applications by Bayat, F. Merrikh, Guo, X., Om'mani, H. A., Do, N., Likharev, K. K., Strukov, D. B.

“…We have modified a commercial NOR flash memory array to enable high-precision tuning of individual floating-gate cells for analog computing applications. The…”
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Highly-uniform multi-layer ReRAM crossbar circuits by Adam, G. C., Hoskins, B. D., Prezioso, M., Bayat, F. Merrikh, Chakrabarti, B., Strukov, D. B.

“…Resistive switching memories have been identified as an enabling technology for a variety of emerging computing applications, including neuromorphic and…”
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Fast, energy-efficient, robust, and reproducible mixed-signal neuromorphic classifier based on embedded NOR flash memory technology by Guo, X., Bayat, F. Merrikh, Bavandpour, M., Klachko, M., Mahmoodi, M. R., Prezioso, M., Likharev, K. K., Strukov, D. B.

“…We have designed, fabricated, and tested a prototype mixed-signal, 28×28-binary-input, 10-ouput, 3-layer neuromorphic network based on embedded nonvolatile…”
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A Numerical Optimization Algorithm Inspired by the Strawberry Plant by Merrikh-Bayat, F

“…This paper proposes a new numerical optimization algorithm inspired by the strawberry plant for solving complicated engineering problems. Plants like…”
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Mixed-Signal Neuromorphic Inference Accelerators: Recent Results and Future Prospects by Bavandpour, M., Mahmoodi, M.R., Nili, H., Bayat, F. Merrikh, Prezioso, M., Vincent, A., Strukov, D.B., Likharev, K.K.

“…Recent advances in dense, continuous-state nonvolatile memories have enabled extremely fast, compact, and energy-efficient analog and mixed-signal circuits…”
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Optimal tuning rules of the fractional-order PID controllers with application to first-order plus time delay processes by Merrikh-Bayat, F.

“…The aim of this paper is to propose two sets of formulas for optimal tuning the PI λ D μ controllers such that either the ISE or the ISTE performance index…”
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A Reconfigurable FIR Filter with Memristor-Based Weights by Bayat, F. Merrikh, Alibart, F, Gao, L, Strukov, D. B

“…We report on experimental demonstration of a mixed-signal 6-tap finite-impulse response (FIR) filter in which weights are implemented with titanium dioxide…”
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Implementation of Multilayer Perceptron Network with Highly Uniform Passive Memristive Crossbar Circuits by Bayat, F. Merrikh, Prezioso, M, Chakrabarti, B, Kataeva, I, Strukov, D

“…The progress in the field of neural computation hinges on the use of hardware more efficient than the conventional microprocessors. Recent works have shown…”
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