Stochastic resonance in mesolimbic learning

Stochastic resonance describes improved information processing by an optimal level of white noise. Recent evidence shows that this phenomenon is not only limited to perception but also applies to higher cognitive functions, such as long-term memory. In particular, studies on children with attention deficit hyperactivity disorder (ADHD) indicate that long-term memory improvement by white noise could be linked with dopaminergic neuromodulation. The precise neural mechanism remains, however, remain unclear. One possibility is that white noise enhances neural activity within the dopaminergic mesolimbic system (including substantia nigra / VTA, medial temporal lobe and prefrontal cortex), which leads to improved learning. Here, I plan to use functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) to test this hypothesis in healthy humans. These complementary techniques allow the characterization of underlying neural processes with high temporal (MEG) and spatial (fMRI) resolution. Understanding stochastic resonance in mesolimbic learning is important from a basic scientific and clinical point of view. For instance, cognitive functions in normal ageing can be accounted for by imbalanced dopaminergic neuromodulation, which might benefit from stochastic resonance.