6 papers
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…
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…
Learning differentially reorganizes brain activity and connectivity
Maxwell A Bertolero, Azeez Adebimpe, Ankit N. Khambhati +4
Human learning is a complex process in which future behavior is altered via the reorganization of brain activity and connectivity. It remains unknown whether activity and connectiv…
A mechanistic model of connector hubs, modularity, and cognition
Maxwell A. Bertolero, B. T. T. Yeo, Danielle S. Bassett +1
The human brain network is modular--comprised of communities of tightly interconnected nodes. This network contains local hubs, which have many connections within their own communi…