Periodic Reporting for period 1 - BrainInformationFlow (Principles underlying information flow across the entire brain of the zebrafish)
Reporting period: 2020-01-01 to 2021-12-31
Our project addresses fundamental questions in neuroscience aiming to contribute to scientific knowledge.
Despite the development of the microscopy, the analysis of the obtained high-dimensional large datasets (big data) requires the development of specific software and algorithms.
We found that there is a large variability of whole-brain assembly characteristics. In addition, there are almost no silent moments in the brain while increases and decreases in the number of active assemblies are more consistent with activation cascades than with sequences in which each has a temporary beginning and end. In addition, I observed global state shifts at the brain activity characterized by the shutting down of a vast majority of active assemblies at the same time that the inactive assemblies are activated. In particular, those shifts are associated with the activation of noradrenergic neurons from the locus Coeruleus (LC).
These results will be presented at the FENS conference in paris and the neutoethology international conference in lisbon. We are now starting to write the manuscript.
Therefore, this project represents the first study to address the spontaneous flow of information across the entire brain, to reveal the communication channels of the brain.
we developed the optics to record whole-brain activity, and the software necessary for its analysis.
We are finishing the first manuscript describing the flow of information between neuronal assemblies (phase sequences), revealing information channels in the brain.
as a fundamental project, its main aim is to build scientific knowledge.