collaborators

6 papers

q-bio.NC2026

Activity-dependent epidemic spreading on multiscale brain networks predicts Alzheimer's disease progression

Christoffer G. Alexandersen, Suman S. Kulkarni, Jessica T. Davis +3

Neurodegenerative diseases can be viewed as spreading processes on brain networks, in which pathological proteins propagate between anatomically connected brain regions. Mathematic…

q-bio.NC2026

Quantifying the cost of network computations to unpack structure-function relationships in the brain

Suman S. Kulkarni, Jason Z. Kim, Panagiotis Fotiadis +2

The brain supports computations through coordinated patterns of activity on an underlying network. These networks---from microscale navigational circuits in insects to macroscale b…

eess.SY2026

QUIET: Quantifying Underutilized Influential Edges for Targeted Synchronization

Sovesh Mohapatra, Christoffer G. Alexandersen, Panagiotis Fotiadis +4

Network control theory can be used to model intrinsic and extrinsic strategies to steer neural dynamics. Standard approaches are node-centric, structural, and focused on achieving…

cond-mat.soft2026

Linear control theory for jammed particle systems

Erin G. Teich, Jason Z. Kim, Dani S. Bassett

Amorphous particulate matter constitutes a wide range of natural and synthetic materials. Despite this ubiquity, the way in which these systems' disordered microstructure couples t…

q-bio.NC2025

Habit learning is associated with efficiently controlled network dynamics in naive macaque monkeys

Julia K. Brynildsen, Panagiotis Fotiadis, Karol P. Szymula +5

Primates utilize distributed neural circuits to learn habits in uncertain environments, but the underlying mechanisms remain poorly understood. We propose a formal theory of networ…

q-bio.NC2025

Network Models of Neurodegeneration: Bridging Neuronal Dynamics and Disease Progression

Christoffer G. Alexandersen, Georgia S. Brennan, Julia K. Brynildsen +3

Neurodegenerative diseases are characterized by the accumulation of misfolded proteins and widespread disruptions in brain function. Computational modeling has advanced our underst…