Our brains process input through a complex network of neurons, interacting by short electrical pulses called spikes. These complex networks comprise both memory of past input as well as instructions for how to route new input in order to perform meaningful computations, which is quite different from classical computer architectures. However, we have so far only limited understanding about how network structure leads to meaningful computations. In this talk, I will discuss the idea that emergent spatio-temporal correlations in complex networks can be seen as the basis of computation in complex networks (such as the brain). I will present some of our recent results, and sketch future steps to study computation with emergent correlations.
Ponente: Johannes Zierenberg. Max Plank Institute for Dynamics and Sel-Organization. Göttingen. Alemania
Fecha y hora: Miércoles, 7 de febrero de 2020 a las 12:00.
Lugar: Seminario de Física Estadística. Planta baja del edificio de Física (junto a las pantallas). Facultad de Ciencias. Granada.
