99 citations · 126 across the 5 of their papers we have counts for
6 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…
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…
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…
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…