The effects of task similarity during representation learning in brains and neural networks

Kavli Affiliate: Stefano Fusi | Authors: Nicholas Menghi, William Jeffrey Johnston, Simone Vigano’, Max Andreas Bosse Hinrichs, Burkhard Maess, Stefano Fusi and Christian F Doeller | Summary: The complexity of our environment poses significant challenges for adaptive behavior. Recognizing shared structures across tasks can theoretically improve learning through generalization. However, how such shared representations emerge […]


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The energy dependence of cluster size and its physical processes in the proton measurement with TimePix3 silicon detector

Kavli Affiliate: Tadayuki Takahashi | First 5 Authors: Naoki Itoh, Hugo Allaire, Tokihiro Ikeda, Shunsaku Nagasawa, Shinji Okada | Summary: We investigated the energy dependence of the number of triggered pixels, or cluster size, when charged particles are detected using the TimePix3 detector with a silicon sensor. We measured protons in the range of 1.5~3.3 […]


Continue.. The energy dependence of cluster size and its physical processes in the proton measurement with TimePix3 silicon detector

The energy dependence of cluster size and its physical processes in the proton measurement with TimePix3 silicon detector

Kavli Affiliate: Tadayuki Takahashi | First 5 Authors: Naoki Itoh, Hugo Allaire, Tokihiro Ikeda, Shunsaku Nagasawa, Shinji Okada | Summary: We investigated the energy dependence of the number of triggered pixels, or cluster size, when charged particles are detected using the TimePix3 detector with a silicon sensor. We measured protons in the range of 1.5~3.3 […]


Continue.. The energy dependence of cluster size and its physical processes in the proton measurement with TimePix3 silicon detector

The energy dependence of cluster size and its physical processes in the proton measurement with TimePix3 silicon detector

Kavli Affiliate: Tadayuki Takahashi | First 5 Authors: Naoki Itoh, Hugo Allaire, Tokihiro Ikeda, Shunsaku Nagasawa, Shinji Okada | Summary: We investigated the energy dependence of the number of triggered pixels, or cluster size, when charged particles are detected using the TimePix3 detector with a silicon sensor. We measured protons in the range of 1.5~3.3 […]


Continue.. The energy dependence of cluster size and its physical processes in the proton measurement with TimePix3 silicon detector

MetaLigand: A database for predicting non-peptide ligand mediated cell-cell communication

Kavli Affiliate: Richard Axel | Authors: Andrew Jacob Pixley Fink, Samuel Muscinelli, Shuqi Wang, Marcus I Hogan, Daniel Fine English, Richard Axel, Ashok Litwin-Kumar and Carl E. Schoonover | Summary: Non-peptide ligands (NPLs), including lipids, amino acids, carbohydrates, and non-peptide neurotransmitters and hormones, play a critical role in ligand-receptor-mediated cell-cell communication, driving diverse physiological and […]


Continue.. MetaLigand: A database for predicting non-peptide ligand mediated cell-cell communication

Bayesian Inferring Nucleon’s Gravitation Form Factors via Near-threshold $J/ψ$ Photoproduction

Kavli Affiliate: Feng Yuan | First 5 Authors: Yuxun Guo, Feng Yuan, Wenbin Zhao, , | Summary: With Bayesian inference, we investigate the impact of recent near-threshold $J/psi$ production measurements by the $J/psi$ 007 experiment and GlueX collaboration on the extraction of proton’s gravitational form factors. We apply the generalized parton distribution framework at the […]


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Computational Protein Science in the Era of Large Language Models (LLMs)

Kavli Affiliate: Yi Zhou | First 5 Authors: Wenqi Fan, Yi Zhou, Shijie Wang, Yuyao Yan, Hui Liu | Summary: Considering the significance of proteins, computational protein science has always been a critical scientific field, dedicated to revealing knowledge and developing applications within the protein sequence-structure-function paradigm. In the last few decades, Artificial Intelligence (AI) […]


Continue.. Computational Protein Science in the Era of Large Language Models (LLMs)

Computational Protein Science in the Era of Large Language Models (LLMs)

Kavli Affiliate: Yi Zhou | First 5 Authors: Wenqi Fan, Yi Zhou, Shijie Wang, Yuyao Yan, Hui Liu | Summary: Considering the significance of proteins, computational protein science has always been a critical scientific field, dedicated to revealing knowledge and developing applications within the protein sequence-structure-function paradigm. In the last few decades, Artificial Intelligence (AI) […]


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PaSa: An LLM Agent for Comprehensive Academic Paper Search

Kavli Affiliate: Feng Yuan | First 5 Authors: Yichen He, Guanhua Huang, Peiyuan Feng, Yuan Lin, Yuchen Zhang | Summary: We introduce PaSa, an advanced Paper Search agent powered by large language models. PaSa can autonomously make a series of decisions, including invoking search tools, reading papers, and selecting relevant references, to ultimately obtain comprehensive […]


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Experimental realization of the ground state for the antiferromagnetic Ising model on a triangular lattice

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Xing-Jian Liu, Li-Ming Tu, Jia-Jie Zhang, Vladimir N. Gladilin | Summary: The antiferromagnetic Ising model on a triangular lattice (AFIT) exemplifies the most classical frustration system, arising from its triangular geometry that prevents all interactions from being simultaneously satisfied. Understanding geometric frustration in AFIT is […]


Continue.. Experimental realization of the ground state for the antiferromagnetic Ising model on a triangular lattice