7 papers · ranked by Valyu relevance
Haihong Yin, Xiaozhuang Wang, Wei Hu, Liqing Liu + 1 more
The PLV ranges from 0 to 1. The higher the PLV between two nodes, the stronger the correlation between the brain regions corresponding to the two nodes. Each lead is a node, and the strength of the PLV is the edge. Using this method, we obtained an adjacency matrix based on EEG channel signals, constructed a brain…
Raphael Mostov, Greyson Lewis, Gabriel Sturm, Wallace F. Marshall
This paper addresses the increasing need for comprehensive mathematical descriptions of cell organization by examining the algebraic structure of mitochondrial network dynamics. Mitochondria are cellular structures involved in metabolism that take the form of a network of membrane-based tubes that undergo continuous…
Hayato Idei, Keisuke Suzuki, Yuichi Yamashita
Mindfulness has established psychological benefits, such as stress reduction and emotional regulation; however, the underlying computational mechanisms, particularly in relation to mind-wandering, remain unclear. This study aimed to present a hierarchical recurrent neural network-based agent model grounded in the free…
Charles de Kergariou, Helmut Hauser, David Correa
Advances in novel materials science enable structures to function as intelligent machines by embedding memory and learning capabilities directly into materials. Our work introduces a physical adaptive material motor unit neural network, leveraging a new generation of controllable actuators composed of wood- and carbon…
Fubo Ma, Kang Li, Yangchao Yu, Lei Zhang + 3 more
Type I interferon (IFN-I) is an important class of cytokines that can inhibit tumuor progression through mechanisms such as immunomodulation of the tumuor microenvironment or targeting cellular components. Although various endogenous and exogenous IFN-I therapeutic strategies have been developed, reports of immune cell…
Kunyu Wang, Jon Paul Janet, Alessandro Tibo
Three-dimensional molecular generative models have emerged that produce de novo molecules both unconditionally and conditionally, e.g., within protein pockets. However, steering those models in a specific region of the chemical space that satisfies a set of desired properties remains challenging. In this study, we…
Xiaoyue Hu, Yuhao Ma, Ruixing Ming, Heping Zhang + 1 more
Identifying essential biomarkers remains a core challenge in elucidating the pathogenic mechanisms and achieving precise diagnosis of complex diseases. Deep neural networks offer immense predictive power, yet their lack of interpretability severely limits downstream biological insight. Here, we introduce DeepVaris, an…