Heterosynaptic plasticity in biomembrane memristors controlled by pH

William T. McClintic, Haden L. Scott, Nick Moore, Mustafa Farahat, Mikayla Maxwell, Catherine D. Schuman, Dima Bolmatov, Francisco N. Barrera, John Katsaras, C. Patrick Collier

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Abstract: In biology, heterosynaptic plasticity maintains homeostasis in synaptic inputs during associative learning and memory, and initiates long-term changes in synaptic strengths that nonspecifically modulate different synapse types. In bioinspired neuromorphic circuits, heterosynaptic plasticity may be used to extend the functionality of two-terminal, biomimetic memristors. In this article, we explore how changes in the pH of droplet interface bilayer aqueous solutions modulate the memristive responses of a lipid bilayer membrane in the pH range 4.97–7.40. Surprisingly, we did not find conclusive evidence for pH-dependent shifts in the voltage thresholds (V*) needed for alamethicin ion channel formation in the membrane. However, we did observe a clear modulation in the dynamics of pore formation with pH in time-dependent, pulsed voltage experiments. Moreover, at the same voltage, lowering the pH resulted in higher steady-state currents because of increased numbers of conductive peptide ion channels in the membrane. This was due to increased partitioning of alamethicin monomers into the membrane at pH 4.97, which is below the pKa (~5.3–5.7) of carboxylate groups on the glutamate residues of the peptide, making the monomers more hydrophobic. Neutralization of the negative charges on these residues, under acidic conditions, increased the concentration of peptide monomers in the membrane, shifting the equilibrium concentrations of peptide aggregate assemblies in the membrane to favor greater numbers of larger, increasingly more conductive pores. It also increased the relaxation time constants for pore formation and decay, and enhanced short-term facilitation and depression of the switching characteristics of the device. Modulating these thresholds globally and independently of alamethicin concentration and applied voltage will enable the assembly of neuromorphic computational circuitry with enhanced functionality. Impact statement: We describe how to use pH as a modulatory “interneuron” that changes the voltage-dependent memristance of alamethicin ion channels in lipid bilayers by changing the structure and dynamical properties of the bilayer. Having the ability to independently control the threshold levels for pore conduction from voltage or ion channel concentration enables additional levels of programmability in a neuromorphic system. In this article, we note that barriers to conduction from membrane-bound ion channels can be lowered by reducing solution pH, resulting in higher currents, and enhanced short-term learning behavior in the form of paired-pulse facilitation. Tuning threshold values with environmental variables, such as pH, provide additional training and learning algorithms that can be used to elicit complex functionality within spiking neural networks. Graphical abstract: [Figure not available: see fulltext.].

Original languageEnglish
Pages (from-to)13-21
Number of pages9
JournalMRS Bulletin
Volume48
Issue number1
DOIs
StatePublished - Jan 2023

Funding

Data collection, analysis, and manuscript preparation were performed at the Center for Nanophase Materials Sciences, which is a US DOE Office of Science User Facility, the Department of Biochemistry & Cellular and Molecular Biology, The University of Tennessee, Knoxville, and the Center for Environmental Biotechnology, The University of Tennessee, Knoxville. W.T.M. acknowledges support from the Bredesen Center for Interdisciplinary Research, The University of Tennessee, Knoxville. F.N.B. was supported by the National Institutes of Health Grant No. R35GM140846. A portion of this research used resources at the Spallation Neutron Source, a US DOE Office of Science User Facility operated by the Oak Ridge National Laboratory. The authors thank L. Millet at the Center for Environmental Biotechnology, The University of Tennessee, Knoxville, for the generous use of laboratory space. J.K. and H.L.S. are supported through the Scientific User Facilities Division of the US Department of Energy (DOE) Office of Science, sponsored by the Basic Energy Science (BES) Program, DOE Office of Science, under Contract No. DEAC05-00OR22725. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). D.B. is supported through the National Science Foundation, Division of Molecular and Cellular Biosciences, under Grant No. 2219289. The US Government retains and the publisher, by accepting the article for publication, acknowledges that the US Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US Government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). National Institutes of Health, Grant No. R35GM140846, US Department of Energy, Grant No. DE-AC0500OR22725. Data collection, analysis, and manuscript preparation were performed at the Center for Nanophase Materials Sciences, which is a US DOE Office of Science User Facility, the Department of Biochemistry & Cellular and Molecular Biology, The University of Tennessee, Knoxville, and the Center for Environmental Biotechnology, The University of Tennessee, Knoxville. W.T.M. acknowledges support from the Bredesen Center for Interdisciplinary Research, The University of Tennessee, Knoxville. F.N.B. was supported by the National Institutes of Health Grant No. R35GM140846. A portion of this research used resources at the Spallation Neutron Source, a US DOE Office of Science User Facility operated by the Oak Ridge National Laboratory. The authors thank L. Millet at the Center for Environmental Biotechnology, The University of Tennessee, Knoxville, for the generous use of laboratory space. J.K. and H.L.S. are supported through the Scientific User Facilities Division of the US Department of Energy (DOE) Office of Science, sponsored by the Basic Energy Science (BES) Program, DOE Office of Science, under Contract No. DEAC05-00OR22725. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). D.B. is supported through the National Science Foundation, Division of Molecular and Cellular Biosciences, under Grant No. 2219289. The US Government retains and the publisher, by accepting the article for publication, acknowledges that the US Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US Government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ).

Keywords

  • Biomimetic
  • Interface
  • Membrane
  • Neuromorphic
  • Synaptic plasticity

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