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

Objective. Predicting how the brain can be driven to specific states by means of internal or
external control requires a fundamental understanding of the relationship between neural …

Flexible and adaptive behaviors have evolved with increasing complexity and numbers of
neuromodulator systems. The neuromodulatory locus coeruleus-norepinephrine (LC-NE) …

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 …

Artificial Intelligence (AI) is an interdisciplinary research line that aims to devise intelligent
machines. Chemical Artificial Intelligence (CAI) focuses on designing intelligent chemical …

Some neurons in the nervous system do not show repetitive firing for steady currents. For
time-varying inputs, they fire once if the input rise is fast enough. This property of phasic …

Motivated by experiments employing optogenetic stimulation of cortical regions, we consider
spike control strategies for ensembles of uncoupled integrate and fire neurons with a …

Motivated by experimental observations, we investigate a variant of the cocktail party
problem: the detection of a weak periodic stimulus in the presence of fluctuations and …

Rhythmic behaviors in neural systems often combine features of limit-cycle dynamics
(stability and periodicity) with features of near heteroclinic or near homoclinic cycle …

In this paper, we have studied time delay-and coupling strength-induced synchronization
transitions in scale-free modified Hodgkin–Huxley (MHH) neuron networks with gap …