Topic: recurrent excitation

The connectivity structure of many biological systems, including neural circuits, is highly non-uniform. Recent technologies allow detailed mapping of these irregularities, but our understanding of their effect on the overall circuit dynamics is still lacking. By developing complex system analytical tools that perform reduction of the network, I determine the impact of connectivity features on network dynamics. I will demonstrate the use of these tools on neural assemblies (clusters), a ubiquitous non-uniform structure in our brains. I will show how neural assemblies of different sizes natural

Burst-suppression (BS) is a highly structured electroencephalogram (EEG) pattern characterized by alternating periods of high-voltage activity (bursts) and low or flatline activity (suppression). In non-anesthetized adults, BS indicates severe brain pathology, e.g. due to oxygen and glucose deprivation [1]. There are two types of BS: one with identical bursts that are highly periodic and uniform in shape, often signaling a poor prognosis, and one without identical bursts [2]. The neuronal mechanisms behind BS and these variations remain largely unknown. Some studies suggest the involvement of