Ruiqi Chen

Biosynthesis and heterologous production of the α-agarofuran scaffold of Celangulin V from Celastrus angulatus

Weiguo Li, Andong Zhu, Wei Li, Shengli Wang et autres

Celangulin V is a widely used biopesticide derived from Celastrus angulatus, and features antifeedant and insecticidal properties as a dihydro-β-agarofuran (DHβAF) sesquiterpenoid. Its biosynthesis remains largely unexplored. Here, we assemble a chromosome-level and haplotype-resolved reference genome of C. angulatus, with each haplotype …

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Divergent pathogenic mechanisms of influenza A and influenza B viruses

X J Zhang, Qin Tang, Yongle Zhang, Jianchao Guo et autres

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Mechanisms underlying pyogenic bacterial infections of the skin

Can Huang, Xueqin Yan, Xiangxiang Xu, Yaru Yang et autres

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Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment

Ruiqi Chen, Giacomo Vedovati, Todd Braver, ShiNung Ching

Dynamical systems models such as recurrent neural networks (RNNs) are increasingly popular in theoretical neuroscience as a vehicle for hypothesis generation and data analysis. Evaluating the dynamics in such models is key to understanding their learned generative mechanisms. However, such evaluation is …

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Task-induced topological and geometrical changes in whole-brain dynamics predict cognitive individual differences

Ruiqi Chen, Hayoung Song, ShiNung Ching, Todd S. Braver

Across the last three decades, functional magnetic resonance imaging (fMRI) research - through both resting-state (rsfMRI) and task-based (tfMRI) studies - has greatly advanced our understanding regarding the neural basis of cognition. Yet the mechanistic relationship between rsfMRI and tfMRI is still …

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Construction of Molecularly Imprinted Polymer Based on Multiple Affinity Strategies for the Enrichment of Dihydromyricetin From Vine Tea

Liping Zhang, Ruiqi Chen, Rui Huang, Xiaoling Zhang et autres

A dihydromyricetin molecularly imprinted polymer was fabricated via a multi-affinity synergistic strategy. Specifically, the deep eutectic solvent (choline chloride/methacrylic acid at molar ratio of 1:2) served as a non-covalent functional monomer, interacting with dihydromyricetin via hydrogen bonds, 3-acrylamidophenylboronic acid acted as a …

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Geometry of neural dynamics along the cortical attractor landscape reflects changes in attention

Hayoung Song, Ruiqi Chen, Thomas L. Botch, Todd S. Braver et autres

Large-scale brain activity reflects changes in attention. To understand how, we tested a hypothesis that the geometry of neural dynamics on the cortical attractor landscape, or movement along its “hills and valleys”, reflects attentional states. A dynamical systems model separating intrinsic dynamics …

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Dynamic parameters prediction of the spatial deployable mechanism: a hybrid approach combining physics-based and data-driven models

Yanhe Tao, Qintao Guo, Jie Zhou, Cheng Yi et autres

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Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment

Ruiqi Chen, Giacomo Vedovati, Todd S. Braver, ShiNung Ching

Dynamical systems models such as recurrent neural networks (RNNs) are increasingly popular in theoretical neuroscience for hypothesis-generation and data analysis. Evaluating the dynamics in such models is key to understanding their learned generative mechanisms. However, such evaluation is impeded by two major …

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Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First

Shu Liu, Soujanya Ponnapalli, Shreya Shankar, Sepanta Zeighami et autres

Large Language Model (LLM) agents, acting on their users' behalf to manipulate and analyze data, are likely to become the dominant workload for data systems in the future. When working with data, agents employ a high-throughput process of exploration and solution formulation …

Geometry of neural dynamics along the cortical attractor landscape reflects changes in attention

Hayoung Song, Ruiqi Chen, Thomas L. Botch, Todd S. Braver et autres

The brain is a complex dynamical system whose activity reflects changes in internal states, such as attention. While prior work has shown that large-scale brain activity reflects attention, the mechanism governing this association in a time-varying and task-dependent manner remains unknown. Here, …

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Dynamical models reveal anatomically reliable attractor landscapes embedded in resting-state brain networks

Ruiqi Chen, Matthew F. Singh, Todd S. Braver, ShiNung Ching

Analyses of functional connectivity (FC) in resting-state brain networks (RSNs) have generated many insights into cognition. However, the mechanistic underpinnings of FC and RSNs are still not well-understood. It remains debated whether resting-state activity is best characterized as reflecting noise-driven fluctuations around …

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