10 citations · 10 across the 5 of their papers we have counts for
6 papers · 1 filter
Nonlinear iontronic signal processing with neuromorphic Spike Rate-Dependent Plasticity
T. M. Kamsma, Y. Gu, D. Shi +4
We present an integrated iontronic memristor circuit that reproduces biologically inspired Spike Rate-Dependent Plasticity (SRDP) and functions as a physical nonlinear frequency ke…
Chemically Regulated Conical Channel Synapse for Neuromorphic and Sensing Applications
T. M. Kamsma, M. S. Klop, W. Q. Boon +3
Fluidic iontronics offer a unique capability for emulating the chemical processes found in neurons. We extract multiple distinct chemically regulated synaptic features from an expe…
Energy-efficient time series processing in real-time with fluidic iontronic memristor circuits
T. M. Kamsma, Y. Gu, C. Spitoni +3
Iontronic neuromorphic computing has emerged as a rapidly expanding paradigm. The arrival of angstrom-confined iontronic devices enables ultra-low power consumption with dynamics a…
A simple mathematical theory for Simple Volatile Memristors and their spiking circuits
T. M. Kamsma, R. van Roij, C. Spitoni
In pursuit of neuromorphic (brain-inspired) devices, memristors (memory-resistors) have emerged as effective components for emulating neuronal circuitry. Here we formally define a…
Advanced iontronic spiking modes with multiscale diffusive dynamics in a fluidic circuit
T. M. Kamsma, E. A. Rossing, C. Spitoni +1
Fluidic iontronics is emerging as a distinctive platform for implementing neuromorphic circuits, characterized by its reliance on the same aqueous medium and ionic signal carriers…
Brain-inspired computing with fluidic iontronic nanochannels
T. M. Kamsma, J. Kim, K. Kim +4
The brain's remarkable and efficient information processing capability is driving research into brain-inspired (neuromorphic) computing paradigms. Artificial aqueous ion channels a…