# name
Impact of physical constraints on the dynamical properties of neuronal networks

# metadata.dc.description[].value
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: Jordi Soriano Fradera

# metadata.dc.description.abstract[].value
The spatial arrangement of the neurons conforming a neuronal network exerts a crucial influence on the activity patterns exhibited by the ensemble. But how exactly this dependence is manifested and in which ways it can be parametrized is still a matter of debate. To advance in this quest, in this work we analyze a number of cultures grown in differently patterned surfaces. We consider a substrate with 4 deep cavities and a substrate with mild topographical modulation on its surface. The results show that the 4 cavities shape a weakly connected set of cultures which altogether shape a very rich dynamics with clear modularity, traits that are much weaker in the other culture. Altogether, the results show the interest but difficulty of making tailored circuits with simple topographical constraints.

# metadata.dc.title[].value
Impact of physical constraints on the dynamical properties of neuronal networks