activity
20142020
most citedControllability of Brain Networks

998 citations · 1.2k across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2020★ 1 cited

StressNet: Detecting Stress in Thermal Videos

Satish Kumar, A S M Iftekhar, Michael Goebel +7

Precise measurement of physiological signals is critical for the effective monitoring of human vital signs. Recent developments in computer vision have demonstrated that signals su…

q-bio.NC2016★ 62 cited

Individual Differences in Dynamic Functional Brain Connectivity Across the Human Lifespan

Elizabeth N. Davison, Benjamin O. Turner, Kimberly J. Schlesinger +4

Individual differences in brain functional networks may be related to complex personal identifiers, including health, age, and ability. Understanding and quantifying these differen…

q-bio.NC2016

Animated 3D Human Models for Use in Person Recognition Experiments

Jean M. Vettel, Justin Kantner, Matthew Jaswa +1

The development of increasingly realistic experimental stimuli and task environments is important for understanding behavior outside the laboratory. We report a process for generat…

q-bio.NC2015★ 9 cited

Accurately Predicting Functional Connectivity from Diffusion Imaging

Cassiano O. Becker, Sergio Pequito, George J. Pappas +4

Understanding the relationship between the dynamics of neural processes and the anatomical substrate of the brain is a central question in neuroscience. On the one hand, modern neu…

q-bio.NC2014★ 138 cited

Brain Network Adaptability Across Task States

Elizabeth N. Davison, Kimberly J. Schlesinger, Danielle S. Bassett +4

Activity in the human brain moves between diverse functional states to meet the demands of our dynamic environment, but fundamental principles guiding these transitions remain poor…

q-bio.NC2014★ 998 cited

Controllability of Brain Networks

Shi Gu, Fabio Pasqualetti, Matthew Cieslak +2

Cognitive function is driven by dynamic interactions between large-scale neural circuits or networks, enabling behavior. Fundamental principles constraining these dynamic network p…