Iontronic Neuromorphic Signaling with Conical Microfluidic Memristors
Publication date
2023-06-30
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Abstract
Experiments have shown that the conductance of conical channels, filled with an aqueous electrolyte, can strongly depend on the history of the applied voltage. These channels hence have a memory and are promising elements in brain-inspired (iontronic) circuits. We show here that the memory of such channels stems from transient concentration polarization over the ionic diffusion time. We derive an analytic approximation for these dynamics which shows good agreement with full finite-element calculations. Using our analytic approximation, we propose an experimentally realizable Hodgkin-Huxley iontronic circuit where micrometer cones take on the role of sodium and potassium channels. Our proposed circuit exhibits key features of neuronal communication such as all-or-none action potentials upon a pulse stimulus and a spike train upon a sustained stimulus.
Keywords
cond-mat.soft, q-bio.NC, Electroosmotic flow, Water, Transport-properties, Generation, Ion-current rectification, Dynamics, Desalination, Nanochannel, Nanopores, Hysteresis, General Physics and Astronomy
Citation
Kamsma, T M, Boon, W Q, Rele, T T, Spitoni, C & Roij, R V 2023, 'Iontronic Neuromorphic Signaling with Conical Microfluidic Memristors', Physical Review Letters, vol. 130, no. 26, 268401, pp. 1-7. https://doi.org/10.1103/PhysRevLett.130.268401