activity
20142020
most citedControllability of Brain Networks

998 citations · 1.3k across the 11 of their papers we have counts for

collaborators

16 papers

q-bio.NC2020

BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks

Marie-Constance Corsi, Mario Chavez, Denis Schwartz +6

Brain-computer interfaces (BCIs) constitute a promising tool for communication and control. However, mastering non-invasive closed-loop systems remains a learned skill that is diff…

q-bio.NC2019

A practical guide to methodological considerations in the controllability of structural brain networks

Teresa M. Karrer, Jason Z. Kim, Jennifer Stiso +4

Predicting how the brain can be driven to specific states by means of internal or external control requires a fundamental understanding of the relationship between neural connectiv…

physics.soc-ph2019

Human information processing in complex networks

Christopher W. Lynn, Lia Papadopoulos, Ari E. Kahn +1

Humans communicate using systems of interconnected stimuli or concepts -- from language and music to literature and science -- yet it remains unclear how, if at all, the structure…

q-bio.NC2019

Functional brain network architecture supporting the learning of social networks in humans

Steven H. Tompson, Ari E. Kahn, Emily B. Falk +2

Most humans have the good fortune to live their lives embedded in richly structured social groups. Yet, it remains unclear how humans acquire knowledge about these social structure…

q-bio.NC2018

White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions

Jennifer Stiso, Ankit N. Khambhati, Tommaso Menara +10

Electrical brain stimulation is currently being investigated as a therapy for neurological disease. However, opportunities to optimize such therapies are challenged by the fact tha…

q-bio.NC2018

Abstract representations of events arise from mental errors in learning and memory

Christopher W. Lynn, Ari E. Kahn, Nathaniel Nyema +1

Humans are adept at uncovering abstract associations in the world around them, yet the underlying mechanisms remain poorly understood. Intuitively, learning the higher-order struct…