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揭示双极锥形通道在神经形态离子电子学中的能力。

Unveiling the capabilities of bipolar conical channels in neuromorphic iontronics.

作者信息

Kamsma T M, Boon W Q, Spitoni C, van Roij R

机构信息

Institute for Theoretical Physics, Utrecht University, Princetonplein 5, 3584 CC Utrecht, The Netherlands.

Mathematical Institute, Utrecht University, Budapestlaan 6, 3584 CD Utrecht, The Netherlands.

出版信息

Faraday Discuss. 2023 Oct 12;246(0):125-140. doi: 10.1039/d3fd00022b.

DOI:10.1039/d3fd00022b
PMID:37404026
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10568261/
Abstract

Conical channels filled with an aqueous electrolyte have been proposed as promising candidates for iontronic neuromorphic circuits. This is facilitated by a novel analytical model for the internal channel dynamics [T. M. Kamsma, W. Q. Boon, T. ter Rele, C. Spitoni and R. van Roij, , 2023, (26), 268401], the relative ease of fabrication of conical channels, and the wide range of achievable memory retention times by varying the channel lengths. In this work, we demonstrate that the analytical model for conical channels can be generalized to channels with an inhomogeneous surface charge distribution, which we predict to exhibit significantly stronger current rectification and more pronounced memristive properties in the case of bipolar channels, channels where the tip and base carry a surface charge of opposite sign. Additionally, we show that the use of bipolar conical channels in a previously proposed iontronic circuit features hallmarks of neuronal communication, such as all-or-none action potentials and spike train generation. Bipolar channels allow, however, for circuit parameters in the range of their biological analogues, and exhibit membrane potentials that match well with biological mammalian action potentials, further supporting their potential biocompatibility.

摘要

填充有水溶液电解质的锥形通道已被认为是离子电子神经形态电路的有前途的候选者。这得益于一种用于内部通道动力学的新型分析模型[T. M. Kamsma, W. Q. Boon, T. ter Rele, C. Spitoni和R. van Roij, , 2023, (26), 268401]、锥形通道相对容易制造,以及通过改变通道长度可实现的广泛的记忆保持时间范围。在这项工作中,我们证明了锥形通道的分析模型可以推广到具有不均匀表面电荷分布的通道,我们预测在双极通道(即尖端和基部带有相反符号表面电荷的通道)的情况下,这种通道将表现出明显更强的电流整流和更显著的忆阻特性。此外,我们表明在先前提出的离子电子电路中使用双极锥形通道具有神经元通信的特征,例如全或无动作电位和尖峰序列生成。然而,双极通道允许电路参数处于其生物类似物的范围内,并且表现出与生物哺乳动物动作电位良好匹配的膜电位,进一步支持了它们潜在的生物相容性。

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本文引用的文献

1
Iontronic Neuromorphic Signaling with Conical Microfluidic Memristors.锥形微流控忆阻器的离子型神经形态信号传递。
Phys Rev Lett. 2023 Jun 30;130(26):268401. doi: 10.1103/PhysRevLett.130.268401.
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Nanofluidic computing makes a splash.纳米流体计算引起了轰动。
Science. 2023 Jan 13;379(6628):143-144. doi: 10.1126/science.adf6400. Epub 2023 Jan 12.
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Neuromorphic functions with a polyelectrolyte-confined fluidic memristor.具有聚电解质限制流体忆阻器的神经形态功能。
Science. 2023 Jan 13;379(6628):156-161. doi: 10.1126/science.adc9150. Epub 2023 Jan 12.
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Long-term memory and synapse-like dynamics in two-dimensional nanofluidic channels.二维纳米流体通道中的长期记忆和类突触动力学。
Science. 2023 Jan 13;379(6628):161-167. doi: 10.1126/science.adc9931. Epub 2023 Jan 12.
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Perspective on Nanofluidic Memristors: From Mechanism to Application.纳流控忆阻器的研究现状:从机理到应用
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Effect of Electrolyte Concentration and Pore Size on Ion Current Rectification Inversion.电解质浓度和孔径对离子电流整流反转的影响。
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ACS Appl Bio Mater. 2021 Jan 18;4(1):71-84. doi: 10.1021/acsabm.0c00806. Epub 2020 Sep 2.
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Organic neuromorphic electronics for sensorimotor integration and learning in robotics.用于机器人中感觉运动整合与学习的有机神经形态电子学。
Sci Adv. 2021 Dec 10;7(50):eabl5068. doi: 10.1126/sciadv.abl5068.