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Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
Published on: June 24, 2015
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Electrochemical Ionic Synapses: Progress and Perspectives.
Mantao Huang1, Miranda Schwacke2, Murat Onen3
1Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Advanced Materials (Deerfield Beach, Fla.)
|October 27, 2022
Summary
Electrochemical ionic synapses offer low-energy, controllable programmable resistors for artificial intelligence hardware. Further research is needed to achieve high speed and material compatibility for advanced applications.
Area of Science:
- Materials Science
- Neuroscience
- Computer Engineering
Background:
- Conventional artificial intelligence hardware faces high energy consumption challenges.
- Existing two-terminal resistive switching devices exhibit variability and poor controllability.
- Electrochemical ionic synapses offer a promising alternative for energy-efficient AI hardware.
Purpose of the Study:
- To present desirable specifications for programmable resistors in artificial intelligence applications.
- To review progress in electrochemical ionic synapse devices utilizing Li+, O2-, and H+ ions.
- To identify challenges and provide guidelines for developing advanced electrochemical ionic synapses.
Main Methods:
- Review of current electrochemical ionic synapse devices and material systems.
- Presentation of desirable device specifications for crossbar arrays.
- Construction of a physical device model to guide material property development.
Main Results:
- Electrochemical ionic synapses demonstrate uniform and deterministic control of conductivity via ion doping.
- These devices offer very low energy consumption compared to traditional methods.
- Simultaneously achieving nanosecond speed, low operating voltage (≈1V), and CMOS compatibility remains a challenge.
Conclusions:
- Electrochemical ionic synapses are promising for energy-efficient AI hardware due to their controllable conductivity.
- Further material advancements are required to meet performance targets for speed, voltage, and compatibility.
- A physical model provides a roadmap for overcoming current limitations and advancing future opportunities.
Keywords:
electrochemical ionic synapsesion intercalationneuromorphic engineeringprogrammable resistorsMore Related Videos
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