Electromechanically induced membrane restructuring enables learning and memory

P Peter T. Podar (Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee) D Dima Bolmatov (Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee) T Teshani Kumarage (Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee) R Rana Ashkar (Department of Physics, Virginia Tech) A Ariana Adkisson (Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee) O Olivia Ziemer (Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee) V Victoria Sullivan (Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee) A Ahmed S. Mohamed (Department of Mechanical Engineering, Pennsylvania State University) J Joseph. S. Najem (Department of Mechanical Engineering, Pennsylvania State University) C C. Patrick Collier (Center for Nanophase Materials Sciences, Oak Ridge National Laboratory) J John Katsaras (Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee)

Abstract

Human neural networks of interconnected neurons have evolved to be remarkably efficient and are capable of learning and memory through the brain’s synaptic plasticity, including short-term plasticity (STP), and long-term potentiation (LTP) and depression (LTD). These activity-dependent mechanisms induce changes in synaptic efficiency over both transient and extended timescales. Understanding the molecular basis of learning and memory is central to deciphering brain function and advancing therapeutics for neurodegenerative diseases. Here, we report that lipid bilayers with embedded gramicidin A ion channels can structurally reorganize when interrogated using a neurologically inspired electrical stimulation protocol, adopting metastable structures with enhanced STP response and emergent LTP or LTD. Specifically, voltage-induced electrocompression is found to restructure membranes, driving them into nonequilibrium steady states with enhanced stability and increased ionic conductivity, leading to stronger and persistent membrane ion conductance. These results show how membrane restructuring and emergent complexity may regulate synaptic plasticity at the molecular level.

Article Details

Volume / Issue Vol. 122, Issue 45
Published November 11, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (11)

P

Peter T. Podar

Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee

D

Dima Bolmatov

Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee

T

Teshani Kumarage

Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee

R

Rana Ashkar

Department of Physics, Virginia Tech

A

Ariana Adkisson

Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee

O

Olivia Ziemer

Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee

V

Victoria Sullivan

Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee

A

Ahmed S. Mohamed

Department of Mechanical Engineering, Pennsylvania State University

J

Joseph. S. Najem

Department of Mechanical Engineering, Pennsylvania State University

C

C. Patrick Collier

Center for Nanophase Materials Sciences, Oak Ridge National Laboratory

J

John Katsaras

Shull Wollan Center, Oak Ridge National Laboratory and University of Tennessee