241 citations · 241 across the 5 of their papers we have counts for
6 papers
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…
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…
Attention by Synchronization in Coupled Oscillator Networks
Fabio Pasqualetti, Taosha Guo
We address transformer attention on energy-constrained physical substrates. Softmax attention requires exponentiation and global reduction, operations with high energy cost on von…
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…
Optimally controlling the human connectome: the role of network topology
Richard F. Betzel, Shi Gu, John D. Medaglia +2
To meet ongoing cognitive demands, the human brain must seamlessly transition from one brain state to another, in the process drawing on different cognitive systems. How does the b…
Stimulation-based control of dynamic brain networks
Sarah Feldt Muldoon, Fabio Pasqualetti, Shi Gu +4
The ability to modulate brain states using targeted stimulation is increasingly being employed to treat neurological disorders and to enhance human performance. Despite the growing…