POSTER PRESENTATION Open Access Stochastic modulation of oscillatory neural

Rhythmic neural activity plays a central role in neural computation. Oscillatory activity has been associated with myriad functions such as homeostasis, attention, and cognition [1] as well as neurological and psychiatric disorders, including Parkinson’s disease, schizophrenia, and depression [2]. Despite this pervasiveness, little is known about the dynamic mechanisms by which the fre-quency and power of ongoing cyclical neural activity can be modulated either externally (e.g. external stimulation) or via internally-driven modulatory drive of nearby neu-rons. While numerous studies have focused on neural rhythms and synchrony, it remains unresolved what med-iates frequency transitions whereby the predominant power spectrum shifts from one frequency to another. Here, we provide computational perspectives regardin