Although typically assumed to degrade performance, random fluctuations, or noise, can
sometimes improve information processing in non-linear systems. One such form …

Noise is an inherent part of neuronal dynamics, and thus of the brain. It can be observed in
neuronal activity at different spatiotemporal scales, including in neuronal membrane …

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 …

Noise—random disturbances of signals—poses a fundamental problem for information
processing and affects all aspects of nervous-system function. However, the nature, amount …

The brain is noisy. Neurons receive tens of thousands of highly fluctuating inputs and
generate spike trains that appear highly irregular. Much of this activity is spontaneous …

Neuronal Noise combines experimental, theoretical and computational results to show how
noise is inherent to neuronal activity, and how noise can be important for neuronal …

Input noise, defined as the root mean square of the fluctuations in the input, typically limits
the performance of any system in engineering or biology. We show that three different …

The activity of neurons in the brain is noisy in that their firing times are random when they
are firing at a given mean rate. This introduces a random or stochastic property into brain …

We demonstrate that, in a parallel array of model neurons, the optimizing influence of
internal noise on the global information is far greater than that reported for a single neuron …

The ability to discriminate between similar sensory stimuli relies on the amount of
information encoded in sensory neuronal populations. Such information can be substantially …