115 citations · 147 across the 10 of their papers we have counts for
10 papers
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…
Topological trapping in circular midpoint opinion dynamics
Annika Brockhaus, Wioletta M. Ruszel, Cristian Spitoni
We study a discrete-time asynchronous midpoint dynamics on the circle in which, at each step, a uniformly chosen neighboring pair moves to the midpoint along the shortest arc. Alth…
Topology, noise, and parallel updates in a model of circular opinion dynamics
Wioletta M. Ruszel, Cristian Spitoni
We study a circular opinion dynamics model with local midpoint interactions, extended to allow parallel updates of multiple sites. On a ring, the dynamics admits twisted states ass…
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…
Echo State and Band-pass Networks with aqueous memristors: leaky reservoir computing with a leaky substrate
T. M. Kamsma, J. J. Teijema, R. van Roij +1
Recurrent Neural Networks (RNN) are extensively employed for processing sequential data such as time series. Reservoir computing (RC) has drawn attention as an RNN framework due to…
Isoperimetric inequality for nonlocal bi-axial discrete perimeter
V. Jacquier, W. M. Ruszel, C. Spitoni
In the present manuscript we address and solve for the first time a nonlocal discrete isoperimetric problem. We consider indeed a generalization of the classical perimeter, what we…
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…
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…