Electrochemical‐Memristor‐Based Artificial Neurons and Synapses—Fundamentals, Applications, and Challenges

Author:

Chen Shaochuan1,Zhang Teng2,Tappertzhofen Stefan3,Yang Yuchao245,Valov Ilia67ORCID

Affiliation:

1. Institute of Materials in Electrical Engineering 2 (IWE2) RWTH Aachen University Sommerfeldstraße 24 52074 Aachen Germany

2. Key Laboratory of Microelectronic Devices and Circuits (MOE) School of Integrated Circuits Peking University Beijing 100871 China

3. Chair for Micro‐ and Nanoelectronics Department of Electrical Engineering and Information Technology TU Dortmund University Martin‐Schmeisser‐Weg 4‐6 D‐44227 Dortmund Germany

4. School of Electronic and Computer Engineering Peking University Shenzhen 518055 China

5. Center for Brain Inspired Intelligence Chinese Institute for Brain Research (CIBR) Beijing 102206 China

6. Peter Grünberg Institute (PGI‐7) Forschungszentrum Jülich Wilhelm‐Johnen‐Straße 52425 Jülich Germany

7. Institute of Electrochemistry and Energy Systems “Acad. E. Budewski” Bulgarian Academy of Sciences Acad. G. Bonchev 10, 1113 Sofia Bulgaria

Abstract

AbstractArtificial neurons and synapses are considered essential for the progress of the future brain‐inspired computing, based on beyond von Neumann architectures. Here, a discussion on the common electrochemical fundamentals of biological and artificial cells is provided, focusing on their similarities with the redox‐based memristive devices. The driving forces behind the functionalities and the ways to control them by an electrochemical‐materials approach are presented. Factors such as the chemical symmetry of the electrodes, doping of the solid electrolyte, concentration gradients, and excess surface energy are discussed as essential to understand, predict, and design artificial neurons and synapses. A variety of two‐ and three‐terminal memristive devices and memristive architectures are presented and their application for solving various problems is shown. The work provides an overview of the current understandings on the complex processes of neural signal generation and transmission in both biological and artificial cells and presents the state‐of‐the‐art applications, including signal transmission between biological and artificial cells. This example is showcasing the possibility for creating bioelectronic interfaces and integrating artificial circuits in biological systems. Prospectives and challenges of the modern technology toward low‐power, high‐information‐density circuits are highlighted.

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

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