998 citations · 1.7k across the 16 of their papers we have counts for
18 papers
Unsupervised Domain Adaptation Learning for Hierarchical Infant Pose Recognition with Synthetic Data
Cheng-Yen Yang, Zhongyu Jiang, Shih-Yu Gu +2
The Alberta Infant Motor Scale (AIMS) is a well-known assessment scheme that evaluates the gross motor development of infants by recording the number of specific poses achieved. Wi…
Control Theory Illustrates the Energy Efficiency in the Dynamic Reconfiguration of Functional Connectivity
Shikuang Deng, Jingwei Li, B. T. Thomas Yeo +1
The brain's functional connectivity fluctuates over time instead of remaining steady in a stationary mode even during the resting state. This fluctuation establishes the dynamical…
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Shikuang Deng, Shi Gu
Spiking neural networks (SNNs) are biology-inspired artificial neural networks (ANNs) that comprise of spiking neurons to process asynchronous discrete signals. While more efficien…
Controllability Analysis of Functional Brain Networks
Shikuang Deng, Shi Gu
Network control theory has recently emerged as a promising approach for understanding brain function and dynamics. By operationalizing notions of control theory for brain networks,…
Unifying Modular and Core-Periphery Structure in Functional Brain Networks over Development
Shi Gu, Cedric Huchuan Xia, Rastko Ciric +5
At rest, human brain functional networks display striking modular architecture in which coherent clusters of brain regions are activated. The modular account of brain function is p…
Benchmarking measures of network controllability on canonical graph models
Elena Wu-Yan, Richard F. Betzel, Evelyn Tang +3
Many real-world systems are composed of many individual components that interact with one another in a complex pattern to produce diverse behaviors. Understanding how to intervene…
On Structural Controllability of Symmetric (Brain) Networks
Tommaso Menara, Shi Gu, Danielle S. Bassett +1
The question of controllability of natural and man-made network systems has recently received considerable attention. In the context of the human brain, the study of controllabilit…
Functional Hypergraph Uncovers Novel Covariant Structures over Neurodevelopment
Shi Gu, Muzhi Yang, John D. Medaglia +4
Brain development during adolescence is marked by substantial changes in brain structure and function, leading to a stable network topology in adulthood. However, most prior work h…
Explicitly Linking Regional Activation and Function Connectivity: Community Structure of Weighted Networks with Continuous Annotation
Andrew C. Murphy, Shi Gu, Ankit N. Khambhati +4
A major challenge in neuroimaging is understanding the mapping of neurophysiological dynamics onto cognitive functions. Traditionally, these maps have been constructed by examining…
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…
Autaptic Connections Shift Network Excitability and Bursting
Laura Wiles, Shi Gu, Fabio Pasqualetti +2
Network architecture forms a critical constraint on neuronal function. Here we examine the role of structural autapses, when a neuron synapses onto itself, in driving network-wide…
The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure
Shi Gu, Matthew Cieslak, Benjamin Baird +4
A critical mystery in neuroscience lies in determining how anatomical structure impacts the complex functional dynamics of human thought. How does large-scale brain circuitry const…
Optimal Trajectories of Brain State Transitions
Shi Gu, Richard F. Betzel, Matthew Cieslak +4
The complexity of neural dynamics stems in part from the complexity of the underlying anatomy. Yet how the organization of white matter architecture constrains how the brain transi…
Developmental increases in white matter network controllability support a growing diversity of brain dynamics
Evelyn Tang, Chad Giusti, Graham Baum +10
As the human brain develops, it increasingly supports coordinated control of neural activity. The mechanism by which white matter evolves to support this coordination is not well u…
Cognitive Control in the Controllable Connectome
John D. Medaglia, Shi Gu, Fabio Pasqualetti +4
Cognition is supported by neurophysiological processes that occur both in local anatomical neighborhoods and in distributed large-scale circuits. Recent evidence from network contr…
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…
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…