Yoshihito Amemiya

TL;DR: A simple analog spike timing dependent plasticity STDP circuit was designed for constructing a neural network that exhibited robust synchronization under a noisy environment and confirmed that it operated as required.

TL;DR: In this paper, the authors experimentally demonstrate noise-induced phase synchronization among multiple electrical oscillator circuits constructed by discrete MOS devices, where multiple nonlinear oscillators can be synchronized with each other when they accept common pulse perturbations randomly distributed in time.

TL;DR: A sample circuit consisting of two single-electron oscillators coupled with each other through a coupling capacitor that exhibits a variety of periodic oscillations and produces a series of bifurcations as the coupling capacitance increases.

TL;DR: A new class of stochastic resonance is found in a simple neural network that consists of photoreceptors generating nonuniform outputs for common inputs with random offsets and an ensemble of noisy McCulloch-Pitts neurons each of which has random threshold values in the temporal domain.

TL;DR: A simple neural network using depressing synapses is introduced and it is shown that a device using the neural network can perform contrast-invariant pattern recognition based on a neuromorphic processing architecture.