Topic: whole-brain dynamics

Brain waves are one of the most important features of brain dynamics. Waves at a large scale are a direct consequence of the microscopic synchronization of neuronal populations. For this reason, simple models of coupled oscillators are widely used tools to analyse whole-brain dynamics, both in computational and data-driven studies. Experimental evidence suggests that, at this description level, large neuronal regions work close to the edge-of-synchronization, which according to theoretical models would confer optimal capabilities for information processing and computation. However, how this c

Neural activity and behavior in awake animals reflect the interaction between multiple fast processes, such as movements, and slow processes, including arousal, neuromodulation, and learning. A variety of experimental and modeling approaches have successfully tackled single aspects along this spectrum, but a comprehensive multi-scale framework is lacking. To address this challenge, we developed two-photon (2p) mesoscope assays to record neural activity at single-cell resolution from the dorsal and lateral cortex of freely running mice during behavior. We found that whole-brain single-cell dyna