Stochastic resonance is said to be observed when increases in levels of unpredictable
fluctuations—eg, random noise—cause an increase in a metric of the quality of signal …

Bioinspired hardware holds the promise of low-energy, intelligent, and highly adaptable
computing systems. Applications span from automatic classification for big data …

Subjective tinnitus is generally assumed to be a consequence of hearing loss. In animal
studies it has been demonstrated that acoustic trauma induced cochlear damage can lead to …

Human decisions are based on finite information, which makes them inherently imprecise.
But what determines the degree of such imprecision? Here, we develop an efficient coding …

In nonlinear systems, the inclusion of low-level noise can paradoxically improve signal
detection, a phenomenon known as stochastic resonance (SR). SR has been observed in …

Levy noise can help neurons detect faint or subthreshold signals. Levy noise extends
standard Brownian noise to many types of impulsive jump-noise processes found in real and …

We present theorems and an algorithm to find optimal or near-optimal “stochastic
resonance”(SR) noise benefits for Neyman–Pearson hypothesis testing and for more …

Noise, traditionally defined as an unwanted signal or disturbance, has been shown to play
an important constructive role in many information processing systems and algorithms. This …

The response time of a neuron in the presence of a strong periodic driving in the stochastic
FitzHugh–Nagumo model is investigated. We analyze two cases:(i) the variable that …

Stochastic resonance (SR) is a phenomenon by which the input signal of a nonlinear
system, with magnitude too small to affect the output, becomes observable by adding a non …