8 papers · 1 filter
The information content of brain states is explained by structural constraints on state energetics
Leon Weninger, Pragya Srivastava, Dale Zhou +6
Signal propagation along the structural connectome of the brain induces changes in the patterns of activity. These activity patterns define global brain states and contain informat…
Is the brain macroscopically linear? A system identification of resting state dynamics
Erfan Nozari, Maxwell A. Bertolero, Jennifer Stiso +6
A central challenge in the computational modeling of neural dynamics is the trade-off between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are bo…
Deep Neural Networks Carve the Brain at its Joints
Maxwell A. Bertolero, Dustin Moraczewski, Adam Thomas +1
How an individual's unique brain connectivity determines that individual's cognition, behavior, and risk for pathology is a fundamental question in basic and clinical neuroscience.…
On the nature of explanations offered by network science: A perspective from and for practicing neuroscientists
Maxwell A. Bertolero, Danielle S. Bassett
Network neuroscience represents the brain as a collection of regions and inter-regional connections. Given its ability to formalize systems-level models, network neuroscience has g…
The human brain's network architecture is genetically encoded by modular pleiotropy
Maxwell A. Bertolero, Ann Sizemore Blevins, Graham L. Baum +5
For much of biology, the manner in which genotype maps to phenotype remains a fundamental mystery. The few maps that are known tend to show modular pleiotropy: sets of phenotypes a…
Multiscale and multimodal network dynamics underpinning working memory
Andrew C. Murphy, Maxwell A. Bertolero, Lia Papadopoulos +2
Working memory (WM) allows information to be stored and manipulated over short time scales. Performance on WM tasks is thought to be supported by the frontoparietal system (FPS), t…