A. Kahn

发表

Role of graph architecture in controlling dynamical networks with applications to neural systems

Ari E. Kahn, Jason Z. Kim, D. Bassett, 2017, Nature Physics.

Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth

Graham L. Baum, Ari E. Kahn, Richard F. Betzel, 2016, Current Biology.

A developmental arc of white matter supporting a growing diversity of brain dynamics

Danielle S. Bassett, Chad Giusti, Graham L. Baum, 2016 .

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

Danielle S. Bassett, Denis Schwartz, Laurent Hugueville, 2020, Journal of neural engineering.

Author Correction: Human information processing in complex networks

Christopher W. Lynn, D. Bassett, A. Kahn, 2020 .

Measuring brain critical dynamics to inform Brain-Computer Interfaces

D. Bassett, D. Schwartz, F. De Vico Fallani, 2022, bioRxiv.

Measuring brain critical dynamics to inform Brain-Computer Interfaces

D. Bassett, D. Schwartz, F. De Vico Fallani, 2022, bioRxiv.

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

Jason Z. Kim, Danielle S. Bassett, Ari E. Kahn, 2019, Journal of neural engineering.

Functional disconnection of associative cortical areas predicts performance during BCI training

Danielle S. Bassett, Denis Schwartz, Ari E. Kahn, 2020, NeuroImage.

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

Ari E. Kahn, Christopher W. Lynn, D. Bassett, 2018, Nature Communications.

Structure from noise: Mental errors yield abstract representations of events

Danielle S. Bassett, Ari E. Kahn, Christopher W. Lynn, 2018 .

Controllability of structural brain networks

Jean M. Vettel, Alfred B. Yu, Fabio Pasqualetti, 2014, Nature Communications.

Cliques and cavities in the human connectome

Jean M. Vettel, Danielle S. Bassett, Chad Giusti, 2016, Journal of Computational Neuroscience.

Structural, geometric and genetic factors predict interregional brain connectivity patterns probed by electrocorticography

Danielle S. Bassett, Ari E. Kahn, John D. Medaglia, 2019, Nature Biomedical Engineering.

Human information processing in complex networks

Danielle S. Bassett, Ari E. Kahn, Lia Papadopoulos, 2019, Nature Physics.

Process reveals structure: How a network is traversed mediates expectations about its architecture

Danielle S Bassett, Ari E Kahn, Elisabeth A Karuza, 2017, Scientific Reports.

Topological Principles of Control in Dynamical Network Systems

Jason Z. Kim, D. Bassett, F. Pasqualetti, 2017, 1702.00354.

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

Ari E. Kahn, D. Bassett, N. George, 2020, Journal of neural engineering.

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

Brian Litt, Fabio Pasqualetti, Danielle S. Bassett, 2018, bioRxiv.

Predictive control of electrophysiological network architecture using direct, single-node neurostimulation in humans

Bradley C. Lega, Joseph I. Tracy, Danielle S. Bassett, 2018, bioRxiv.

Inter-regional ECoG correlations predicted by communication dynamics, geometry, and correlated gene expression

Danielle S. Bassett, Ari E. Kahn, John D. Medaglia, 2017, 1706.06088.

Developmental increases in white matter network controllability support a growing diversity of brain dynamics

Danielle S Bassett, Ari E Kahn, Evelyn Tang, 2016, Nature Communications.

Structural Pathways Supporting Swift Acquisition of New Visuomotor Skills

Jean M. Vettel, Danielle S. Bassett, Ari E. Kahn, 2016, Cerebral cortex.

Increasingly diverse brain dynamics in the developmental arc: using Pareto-optimization to infer a mechanism

Danielle S. Bassett, Evelyn Tang, Chad Giusti, 2017 .

Network constraints on learnability of probabilistic motor sequences

Danielle S Bassett, Ari E Kahn, Elisabeth A Karuza, 2017, Nature Human Behaviour.

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

Jean M. Vettel, Danielle S. Bassett, Ari E. Kahn, 2019, NeuroImage.

Network structure influences the strength of learned neural representations

Karol P Szymula, D. Bassett, G. Aguirre, 2023, bioRxiv.

Human Sensitivity to Community Structure Is Robust to Topological Variation

Danielle S. Bassett, Ari E. Kahn, Ari Kahn, 2019, Complex..

Individual Differences in Learning Social and Nonsocial Network Structures

Danielle S Bassett, Ari E Kahn, Jean M Vettel, 2017, Journal of experimental psychology. Learning, memory, and cognition.

Functional control of electrophysiological network architecture using direct neurostimulation in humans

Bradley C. Lega, Joseph I. Tracy, Danielle S. Bassett, 2019, Network Neuroscience.

Neurophysiological Evidence for Cognitive Map Formation during Sequence Learning

Christopher W. Lynn, Karol P Szymula, D. Bassett, 2021, eNeuro.

Alprazolam modulates persistence energy during emotion processing in first-degree relatives of individuals with schizophrenia: a network control study

Ari E. Kahn, Eli J. Cornblath, D. Bassett, 2021, bioRxiv.

Individual Di&erences in Learning Social and Non- Social Network Structures

D. Bassett, J. Vettel, E. Falk, 2021 .

Structural drivers of diverse neural dynamics and their evolution across development

Danielle S. Bassett, Evelyn Tang, Chad Giusti, 2016, 1607.01010.

Controllability of Brain Networks pdf

Alfred B. Yu, Fabio Pasqualetti, Danielle S. Bassett, 2014, ArXiv.