activity
20142020
most citedControllability of Brain Networks

998 citations · 1.6k across the 16 of their papers we have counts for

collaborators
Showing 2016Show all

8 papers · 1 filter

q-bio.NC2016

The Energy Landscape Underpinning Module Dynamics in the Human Brain Connectome

Arian Ashourvan, Shi Gu, Marcelo G. Mattar +2

Human brain dynamics can be profitably viewed through the lens of statistical mechanics, where neurophysiological activity evolves around and between local attractors representing…

q-bio.NC2016

Cliques and Cavities in the Human Connectome

Ann Sizemore, Chad Giusti, Ari Kahn +2

Encoding brain regions and their connections as a network of nodes and edges captures many of the possible paths along which information can be transmitted as humans process and pe…

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.NC2016★ 1 cited

Temporal and Semantic Effects on Multisensory Integration

Jean M. Vettel, Julia R. Green, Laurie Heller +1

How do we integrate modality-specific perceptual information arising from the same physical event into a coherent percept? One possibility is that observers rely on information acr…

q-bio.NC2016

Estimating direction in brain-behavior interactions: Proactive and reactive brain states in driving

Javier O. Garcia, Justin Brooks, Scott Kerick +3

Conventional neuroimaging analyses have revealed the computational specificity of localized brain regions, exploiting the power of the subtraction technique in fMRI and event-relat…

q-bio.NC2016

A novel method linking neural connectivity to behavioral fluctuations: Behavior-Regressed Connectivity

Antony D. Passaro, Jean M. Vettel, Jonathan McDaniel +3

Background: During an experimental session, behavioral performance fluctuates, yet most neuroimaging analyses of functional connectivity derive a single connectivity pattern. These…

q-bio.NC2016

Structural Pathways Supporting Swift Acquisition of New Visuo-Motor Skills

Ari E. Kahn, Marcelo G. Mattar, Jean M. Vettel +3

Human skill learning requires fine-scale coordination of distributed networks of brain regions that are directly linked to one another by white matter tracts to allow for effective…

q-bio.NC2016

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…