Talk by Professor Gustavo Deco
Computational Neuroscience Group, Departament of Technology,
Universitat Pompeu Fabra, Barcelona, Spain
- 23.Jan.2013 14:00
- 23.Jan.2013 15:30
- INM-6, Bldg. 15.22, Seminar Room 3009, 1. OG
Resting Brains Never Rest
Resting-state networks (RSNs), which have become a large focus in neuroimaging research, can be best simulated by large-scale cortical models when networks teeter on the edge of instability. In this state the functional networks are in a low firing stable state while they are continuously pulled towards multiple other configurations. Small extrinsic perturbations can shape task-related network dynamics, while perturbations from intrinsic noise generate excursions reflecting the range of available functional networks. This is distinctly advantageous for the efficiency and speed of network mobilization.
Thus, the resting state reflects the dynamical capabilities of the brain, which emphasizes the vital interplay of time and space. We propose a new theoretical framework for RSNs that can serve as a fertile ground for empirical testing.