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Najem JS, Taylor GJ, Weiss RJ, et al. Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics. ACS Nano. 2018;12(5):4702-4711doi: 10.1021/acsnano.8b01282.
Najem, J. S., Taylor, G. J., Weiss, R. J., Hasan, M. S., Rose, G., Schuman, C. D., Belianinov, A., Collier, C. P., & Sarles, S. A. (2018). Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics. ACS nano, 12(5), 4702-4711. https://doi.org/10.1021/acsnano.8b01282
Najem, Joseph S, et al. "Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics." ACS nano vol. 12,5 (2018): 4702-4711. doi: https://doi.org/10.1021/acsnano.8b01282
Najem JS, Taylor GJ, Weiss RJ, Hasan MS, Rose G, Schuman CD, Belianinov A, Collier CP, Sarles SA. Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics. ACS Nano. 2018 May 22;12(5):4702-4711. doi: 10.1021/acsnano.8b01282. Epub 2018 Mar 29. PMID: 29578693.
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ACS Nano. 2018 May 22;12(5):4702-4711. doi: 10.1021/acsnano.8b01282. Epub 2018 Mar 29.

Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics.

ACS nano

Joseph S Najem, Graham J Taylor, Ryan J Weiss, Md Sakib Hasan, Garrett Rose, Catherine D Schuman, Alex Belianinov, C Patrick Collier, Stephen A Sarles

Affiliations

  1. Joint Institute for Biological Sciences , Oak Ridge National Laboratory , Oak Ridge , Tennessee 37831 , United States.
  2. Department of Mechanical, Aerospace and Biomedical Engineering , University of Tennessee , Knoxville , Tennessee 37916 , United States.
  3. Bredesen Center for Interdisciplinary Research , University of Tennessee , Knoxville , Tennessee 37996 , United States.
  4. Department of Electrical Engineering and Computer Science , University of Tennessee , Knoxville , Tennessee 37916 , United States.
  5. Computer Science and Mathematics Division , Oak Ridge National Laboratory , Oak Ridge , Tennessee 37831 , United States.
  6. Center for Nanophase Materials Sciences , Oak Ridge National Laboratory , Oak Ridge , Tennessee 37831 , United States.

PMID: 29578693 DOI: 10.1021/acsnano.8b01282

Abstract

Solid-state neuromorphic systems based on transistors or memristors have yet to achieve the interconnectivity, performance, and energy efficiency of the brain due to excessive noise, undesirable material properties, and nonbiological switching mechanisms. Here we demonstrate that an alamethicin-doped, synthetic biomembrane exhibits memristive behavior, emulates key synaptic functions including paired-pulse facilitation and depression, and enables learning and computing. Unlike state-of-the-art devices, our two-terminal, biomolecular memristor features similar structure (biomembrane), switching mechanism (ion channels), and ionic transport modality as biological synapses while operating at considerably lower power. The reversible and volatile voltage-driven insertion of alamethicin peptides into an insulating lipid bilayer creates conductive pathways that exhibit pinched current-voltage hysteresis at potentials above their insertion threshold. Moreover, the synapse-like dynamic properties of the biomolecular memristor allow for simplified learning circuit implementations. Low-power memristive devices based on stimuli-responsive biomolecules represent a major advance toward implementation of full synaptic functionality in neuromorphic hardware.

Keywords: alamethicin; biomembrane; biomolecular memristor; ion channel; lipid bilayer; memristor; neuromorphic computing

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