3 papers
cond-mat.soft2026
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…
cond-mat.soft2026
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…
cs.ET2025
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…