Exploring neuromorphic potentials of silver-based self-directed-channel memristors for artificial synapses in neural network circuits

Dhiman Biswas; Thirumalai Venkatesan; Yaser Mike Banad

doi:10.1117/12.3008779

9 May 2024 Exploring neuromorphic potentials of silver-based self-directed-channel memristors for artificial synapses in neural network circuits

Dhiman Biswas, Thirumalai Venkatesan, Yaser Mike Banad

Author Affiliations +

Proceedings Volume 12944, Bioinspiration, Biomimetics, and Bioreplication XIV; 129440F (2024) https://doi.org/10.1117/12.3008779
Event: SPIE Smart Structures + Nondestructive Evaluation, 2024, Long Beach, California, United States

Abstract

This paper examines the capabilities of Silver-based Self-Directed-Channel (S-SDC) memristors as artificial synapses in energy-efficient and biologically-inspired computing systems. These memristors stand out for their programmable resistance modulation, which is crucial for neural network circuits and addresses key challenges in AI hardware, such as the von Neumann bottleneck. The research focuses on the conductivity manipulation in S-SDC memristors through silver cation migration, exploring various conducting states and their temporal fluctuations. This analysis uncovers a spectrum of conductance states unique to S-SDC memristors, with enhanced programmability particularly evident in lower conductivity states, facilitating precise resistance adjustments. Additionally, the study assesses the influence of migration-induced fluctuations on the overall reliability of these devices. The paper advocates for integrating S-SDC memristors into neuromorphic computing architectures, highlighting their ability to balance computational efficiency with energy sustainability. The memristors' distinct features, including controllable conductivity, adaptability in programming, and stability, are underscored as key contributors to the evolution of neuromorphic computing.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dhiman Biswas, Thirumalai Venkatesan, and Yaser Mike Banad "Exploring neuromorphic potentials of silver-based self-directed-channel memristors for artificial synapses in neural network circuits", Proc. SPIE 12944, Bioinspiration, Biomimetics, and Bioreplication XIV, 129440F (9 May 2024); https://doi.org/10.1117/12.3008779

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available