Neuronal networks, from the smallest culture to the entire brain, are characterized by a rich repertoire of spontaneous rhythmic dynamics, in the form of electric activity that propagate throughout the system. Spontaneous activity in the brain plays a fundamental role in the development of synaptic connections and is crucial for proper synchronization between brain areas. A dramatic example is Parkinson’s disorder, where the lack of accurate motor responses is associated with abnormal brain rhythms. The principles that govern the emergence, propagation, and stability of spontaneous activity fronts are proving elusive to the neuroscience community. In particular, the interplay between the connectivity of a neuronal network and its dynamics is still a fundamental paradigm.

In our neurophysics research group we study the essential mechanisms behind spontaneous activity. We use neuronal cultures as versatile model systems to investigate these and other fundamental questions. We prepare cultures where neurons and connections are confined in predefined patterns, allowing us to control the circuitry of the network. In combination with numerical simulations, we show that spontaneous activity depends both on network’s architecture and local neuronal dynamics. We also show that spontaneous activity can be modified by external perturbations such as electric stimulations, which opens interesting perspectives in the use of neuronal cultures for the development of non-invasive therapies for the treatment of mental disorders.


Wednesday, April 6, 2011, 11:45. Seminar Room

Hosted by Prof. Melike Lakadamyali