In this work, we have investigated the coexistence of volatile and nonvolatile memristive
effects in epitaxial phase-separated La 0.5 Ca 0.5 MnO 3 thin films. At low temperatures (50 …

Memristive spiking neural networks (MSNNs) have great potential to process information
with higher efficiency and lower time latency than conventional artificial neural networks …

Many animals meander in environments and avoid collisions. How the underlying neuronal
machinery can yield robust behaviour in a variety of environments remains unclear. In the fly …

Spike-based neuromorphic hardware has great potential for low-energy brain-machine
interfaces, leading to a novel paradigm for neuroprosthetics where spiking neurons in silicon …

In this study, we report the poly-L-lysine (PLL) coated extended large area p-Si/n-ZnO
heterojunction based biosensing device to analyze the influence of functional behavior of …

A spiking neural network of ergodic sequential logic neuron models is presented. It is shown
that the presented network is capable of reproducing various biologically plausible spatio …

Neuromorphic computing, commonly understood as a computing approach built upon
neurons, synapses, and their dynamics, as opposed to Boolean gates, is gaining large …

Biological neurons and their in-silico emulations for neuromorphic artificial intelligence (AI)
use extraordinarily energy-efficient mechanisms, such as spike-based communication and …

An ergodic sequential logic (SL) neuron model is designed and it is shown that the model
can reproduce various nonlinear responses of neurons. Using the neuron model, a novel …

Dynamical features of a coupled memristive chaotic system have been studied using a
fractal-fractional derivative in the sense of Atangana-Baleanu. Dissipation, Poincaré section …