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Memory and Learning in Soft-Matter Synaptic Mimics

Computing ‘building blocks’ consisting of synthetic biomembranes behave as synaptic mimics that enable learning and computing tasks when configured in neuromorphic circuits according to researchers at Oak Ridge National Laboratory and the University of Tennessee. Credit: Image by Joseph Najem, Oak Ridge National Laboratory/Dept. of Energy

Scientific Achievement

Synthetic biomembranes doped with voltage-activated alamethicin peptides yield low-power, two-terminal devices with structure and switching mechanism resembling biological synapses.

Significance and Impact

The development of biomembrane-based devices based on stimuli-responsive biomolecules is a major step toward full implementation of synaptic functionalities in neuromorphic hardware, leading to highly efficient, high-density computing systems.

Research Details

– Lipid bilayer membranes containing voltage-gated ion channels were assembled between aqueous droplets suspended from wire electrodes in an oil-filled reservoir.

– Current-voltage measurements were made using cyclic voltammetry with different sweep rates, and mathematically fit to physical models of biomolecular memristors.

J. S. Najem, G. J. Taylor, R. J. Weiss, Md. S. Hasan, G. Rose, C. D. Schuman, A. Belianinov, C. P Collier, and S. A. Sarles, “Memristive ion channel-doped biomembranes as synaptic mimics,” ACS Nano 12, 4702 (2018). DOI: 10.1021/acsnano.8b01282

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