Brain-inspired computing with fluidic iontronic nanochannels
arXiv:2309.11438 · doi:10.1073/pnas.2320242121
Abstract
The brain's remarkable and efficient information processing capability is driving research into brain-inspired (neuromorphic) computing paradigms. Artificial aqueous ion channels are emerging as an exciting platform for neuromorphic computing, representing a departure from conventional solid-state devices by directly mimicking the brain's fluidic ion transport. Supported by a quantitative theoretical model, we present easy to fabricate tapered microchannels that embed a conducting network of fluidic nanochannels between a colloidal structure. Due to transient salt concentration polarisation our devices are volatile memristors (memory resistors) that are remarkably stable. The voltage-driven net salt flux and accumulation, that underpin the concentration polarisation, surprisingly combine into a diffusionlike quadratic dependence of the memory retention time on the channel length, allowing channel design for a specific timescale. We implement our device as a synaptic element for neuromorphic reservoir computing. Individual channels distinguish various time series, that together represent (handwritten) numbers, for subsequent in-silico classification with a simple readout function. Our results represent a significant step towards realising the promise of fluidic ion channels as a platform to emulate the rich aqueous dynamics of the brain.
References in corpus (11)
- Recent Advances in Physical Reservoir Computing: A Review
- Brain-inspired computing: We need a master plan
- Long-term memory and synapse-like dynamics in two-dimensional nanofluidic channels
- Modeling of emergent memory and voltage spiking in ionic transport through angström-scale slits
- Desalination shocks in microstructures
- A recipe for creating ideal hybrid memristive-CMOS neuromorphic computing systems
- Iontronic Neuromorphic Signaling with Conical Microfluidic Memristors
- Dramatic pressure-sensitive ion conduction in conical nanopores
- Hydrophobically gated memristive nanopores for neuromorphic applications
- Pressure-sensitive ion conduction in a conical channel: optimal pressure and geometry
- Unveiling the capabilities of bipolar conical channels in neuromorphic iontronics
Cited by in corpus (10)
- Intelligent Soft Matter: Towards Embodied Intelligence
- A simple mathematical theory for Simple Volatile Memristors and their spiking circuits
- Chemically Regulated Conical Channel Synapse for Neuromorphic and Sensing Applications
- Angstrom Scale Ionic Memristors' Engineering with van der Waals Materials- A Route to Highly Tunable Memory States
- Scaling laws for concentration-gradient-driven electrolyte transport through a 2D membrane
- Neuromorphic Computing with Microfluidic Memristors
- Echo State and Band-pass Networks with aqueous memristors: leaky reservoir computing with a leaky substrate
- Revisiting the access conductance of a nanopore in a charged membrane
- Oscillating electroosmotic flow in channels and capillaries with modulated wall charge distribution
- Molecular insight on ultra-confined ionic transport in wetting films: the key role of friction