Iontronic Neuromorphic Signaling with Conical Microfluidic Memristors

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 realisable 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.

References in corpus (8)

• Brain-inspired computing: We need a master plan
• Long-term memory and synapse-like dynamics in two-dimensional nanofluidic channels
• Organic electrochemical neurons and synapses with ion mediated spiking
• Modeling of emergent memory and voltage spiking in ionic transport through angström-scale slits
• Dramatic pressure-sensitive ion conduction in conical nanopores
• Beyond the Tradeoff: Dynamic Selectivity in Ionic Transport and Current Selectivity
• Pressure-sensitive ion conduction in a conical channel: optimal pressure and geometry
• Analytic theory of nonlinearly coupled electrokinetics in nanochannels

Cited by in corpus (16)

• Brain-inspired computing with fluidic iontronic nanochannels
• Intelligent Soft Matter: Towards Embodied Intelligence
• Unveiling the capabilities of bipolar conical channels in neuromorphic iontronics
• Modulation of ionic conduction using polarizable surfaces
• A simple mathematical theory for Simple Volatile Memristors and their spiking circuits
• Chemically Regulated Conical Channel Synapse for Neuromorphic and Sensing Applications
• Advanced iontronic spiking modes with multiscale diffusive dynamics in a fluidic circuit
• Self-generated electrokinetic flows from active-charged boundary patterns
• Universal behavior in traveling wave electroosmosis
• Electric Fields Near Undulating Dielectric Membranes
• Neuromorphic Computing with Microfluidic Memristors
• Echo State and Band-pass Networks with aqueous memristors: leaky reservoir computing with a leaky substrate
• Surface Charge Relaxation Controls the Lifetime of Out-of-Equilibrium Colloidal Crystals
• Oscillating electroosmotic flow in channels and capillaries with modulated wall charge distribution
• Photogalvanic effect in hydrodynamic flows of nonreciprocal electron liquids
• Ion Selectivity in Uncharged Tapered Nanoslits through Heterogeneous Water Polarization