collaborators

7 papers

q-bio.NC2026

Hysteresis and multistability in network spreading with neuronal activity feedback

Christoffer G. Alexandersen, Dani S. Bassett

Spreading processes on networks often interact with other dynamics on the same nodes. Neurodegenerative disease provides one example: pathological proteins spread through anatomica…

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…