Differential glutamatergic and GABAergic responses drive divergent prefrontal cortex neural outcomes to low and high frequency stimulation

Posted by dbos UCSD / Salk

Kavli Affiliate: Jyoti Mishra and Dhakshin Ramanathan | Authors: Morteza Salimi, Milad Nazari, Jonathan Mishler, Mishra Jyoti and Dhakshin Ramanathan | Summary: Background Repetitive brain stimulation is hypothesized to bidirectionally modulate excitability, with low-frequency trains decreasing and high-frequency (>5 Hz) trains increasing activity. Most insights on the neuroplastic effects of repetitive stimulation protocols stem from […]


Continue.. Differential glutamatergic and GABAergic responses drive divergent prefrontal cortex neural outcomes to low and high frequency stimulation

Neural representation of action symbols in primate frontal cortex

Posted by dbos Rockefeller

Kavli Affiliate: Winrich Freiwald | Authors: Lucas Y Tian, Kedar U Garzón, Adam G Rouse, Mark AG Eldridge, Marc H Schieber, Xiao-Jing Wang, Joshua B Tenenbaum and Winrich A Freiwald | Summary: At the core of intelligence is proficiency in solving new problems, including those that differ dramatically from problems seen before. Problem-solving, in turn, […]


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Visualizing the breakdown of the quantum anomalous Hall effect

Posted by dbos Cornell

Kavli Affiliate: Katja C. Nowack | First 5 Authors: George M. Ferguson, Run Xiao, Anthony R. Richardella, Austin Kaczmarek, Nitin Samarth | Summary: The creation of topologically non-trivial matter across electronic, mechanical, cold-atom, and photonic platforms is advancing rapidly, yet understanding the breakdown of topological protection remains a major challenge. In this work, we use […]


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A Hybrid CNN-Transformer Model for Heart Disease Prediction Using Life History Data

Posted by dbos Berkeley

Kavli Affiliate: Ting Xu | First 5 Authors: Ran Hao, Yanlin Xiang, Junliang Du, Qingyuan He, Jiacheng Hu | Summary: This study proposed a hybrid model of a convolutional neural network (CNN) and a Transformer to predict and diagnose heart disease. Based on CNN’s strength in detecting local features and the Transformer’s high capacity in […]


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Portable transcranial therapeutic ultrasound enhances targeted gene delivery for Parkinson’s disease: from rodent models to non-human primates

Posted by dbos Columbia

Kavli Affiliate: Vincent Ferrera | Authors: Alec J. Batts, Robin Ji, Sua Bae, Fotios N. Tsitsos, Sergio Jiménez-Gambín, Nancy Kwon, Samantha L. Gorman, Deny Tsakri, Rebecca L. Noel, Jonas Bendig, Daniella A. Jimenez, Melody DiBenedetto, Sofia A. Del Castillo, Filimon B. Keleta, James Caicedo, Alexander Romanov, Colleen T. Curley, Yulia Dzhashiashvili, Greglynn D. Walton-Gibbs, Bradley […]


Continue.. Portable transcranial therapeutic ultrasound enhances targeted gene delivery for Parkinson’s disease: from rodent models to non-human primates

The Stochastic Siren: Astrophysical Gravitational-Wave Background Measurements of the Hubble Constant

Posted by dbos Chicago

Kavli Affiliate: Daniel E. Holz | First 5 Authors: Bryce Cousins, Kristen Schumacher, Adrian Ka-Wai Chung, Colm Talbot, Thomas Callister | Summary: Gravitational waves from individually resolved compact object mergers can be used as standard sirens, offering a novel self-calibrating precision probe of cosmology. While the standard siren method has been well-explored, the gravitational-wave background […]


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Mapping the merging zone of late infall in the AB Aur planet-forming system

Posted by dbos Peking

Kavli Affiliate: Ruobing Dong | First 5 Authors: Jessica Speedie, Ruobing Dong, Richard Teague, Dominique Segura-Cox, Jaime E. Pineda | Summary: Late infall events challenge the traditional view that planet formation occurs without external influence. Here we present deep ALMA $^{12}$CO $J=2-1$ and SO $J_{N}=5_6-4_5$ observations toward AB Aurigae, a Class II disk system with […]


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Reweighting and Analysing Event Generator Systematics by Neural Networks on High-Level Features

Posted by dbos Tokyo

Kavli Affiliate: Mihoko M. Nojiri | First 5 Authors: Amon Furuichi, Sung Hak Lim, Mihoko M. Nojiri, , | Summary: The state-of-the-art deep learning (DL) models for jet classification use jet constituent information directly, improving performance tremendously. This draws attention to interpretability, namely, the decision-making process, correlations contributing to the classification, and high-level features (HLFs) […]


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Global Neutrino Constraints on the Minimal U(1)$_{L_μ-L_τ}$ Model

Posted by dbos Tokyo

Kavli Affiliate: Satoshi Shirai | First 5 Authors: Masahiro Ibe, Satoshi Shirai, Keiichi Watanabe, , | Summary: We examine the minimal U(1)$_{L_mu-L_tau}$ gauge model in light of the latest neutrino data, including neutrino oscillations, cosmological observations, direct mass measurements, and neutrinoless double-beta decay. Using the most conservative oscillation data, we find that normal ordering is […]


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OptMetaOpenFOAM: Large Language Model Driven Chain of Thought for Sensitivity Analysis and Parameter Optimization based on CFD

Posted by dbos UCAS

Kavli Affiliate: Long Zhang | First 5 Authors: Yuxuan Chen, Long Zhang, Xu Zhu, Hua Zhou, Zhuyin Ren | Summary: Merging natural language interfaces with computational fluid dynamics (CFD) workflows presents transformative opportunities for both industry and research. In this study, we introduce OptMetaOpenFOAM – a novel framework that bridges MetaOpenFOAM with external analysis and […]


Continue.. OptMetaOpenFOAM: Large Language Model Driven Chain of Thought for Sensitivity Analysis and Parameter Optimization based on CFD