Brief Review of Neuron Typology and Analysis of the Use of Memristor Crossbars

Neuromorphic technologies using artificial neurons and synapses can offer a more efficient solution for executing artificial intelligence algorithms than traditional computing systems. Artificial neurons using memristors have recently been developed, but they have limited biological dynamics and cannot directly interact with artificial synapses in an integrated system. This paper aims to review the complexity levels and functions of neurons and synapses and to analyze the circuit implementation of individual types of neurons and neural networks.

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Publication Details

Journal
Russian Microelectronics
Published
2024-12-01
DOI
https://doi.org/10.1134/s1063739724600766
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Brief Review of Neuron Typology and Analysis of the Use of Memristor Crossbars

A. A. Tokarev, I. A. Khorin
Russian Microelectronics
Advanced Memory and Neural Computing
article

Brief Review of Neuron Typology and Analysis of the Use of Memristor Crossbars

A. A. Tokarev, I. A. Khorin
article en

Abstract

Neuromorphic technologies using artificial neurons and synapses can offer a more efficient solution for executing artificial intelligence algorithms than traditional computing systems. Artificial neurons using memristors have recently been developed, but they have limited biological dynamics and cannot directly interact with artificial synapses in an integrated system. This paper aims to review the complexity levels and functions of neurons and synapses and to analyze the circuit implementation of individual types of neurons and neural networks.

Russian MicroelectronicsVol. 53(6)
Moscow Institute of Physics and Technology (RU), Institute of Physics and Technology (RU), MIREA - Russian Technological University (RU)
Affordable and clean energy
Openalex Percentile: Top 75%
Advanced Memory and Neural Computing
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Brief Review of Neuron Typology and Analysis of the Use of Memristor Crossbars — A. A. Tokarev, I. A. Khorin · Russian Microelectronics (2024) | TGRS Research Map | TGRS