Separable Dorsal Raphe Dopamine Projections mediate the Facets of Loneliness-like state

Kavli Affiliate: Kay Tye | Authors: Christopher R Lee, Gillian A Matthews, Mackenzie E Lemieux, Elizabeth M Wasserlein, Matilde Borio, Raymundo L Miranda, Laurel R Keyes, Gates P Schneider, Caroline Jia, Andrea Tran, Faith Aloboudi, May G Chan, Enzo Peroni, Grace Pereira, Alba López-Moraga, Anna Pall é, Eyal Y Kimchi, Nancy Padilla-Coreano, Romy Wichmann and […]


Continue.. Separable Dorsal Raphe Dopamine Projections mediate the Facets of Loneliness-like state

Frequency auto-homogenization using group-velocity-matched downconversion

Kavli Affiliate: Jeffrey Moses | Summary:With the stability of integrated photonics at network nodes and the advantages of photons as flying qubits, photonic quantum information processing (PQIP) makes quantum networks increasingly scalable. However, scaling up PQIP requires the preparation of many identical single photons which is limited by the spectral distinguishability of integrated single-photon sources […]


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EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Feng Wang, , , | Summary: Magnetotelluric (MT) forward modeling is fundamental for improving the accuracy and efficiency of MT inversion. Neural operators (NOs) have been effectively used for rapid MT forward modeling, demonstrating their promising performance in solving the MT forward modeling-related partial differential […]


Continue.. EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Hong Qiu, Yingying Huang, Xiaozhe Gu, Renfang Wang | Summary: Magnetotelluric (MT) forward modeling is fundamental for improving the accuracy and efficiency of MT inversion. Neural operators (NOs) have been effectively used for rapid MT forward modeling, demonstrating their promising performance in solving the MT […]


Continue.. EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling

UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation

Kavli Affiliate: Feng Wang | First 5 Authors: Weiren Zhao, Feng Wang, Yanran Wang, Yutong Xie, Qi Wu | Summary: Recent advancements have highlighted the Mamba framework, a state-space model known for its efficiency in capturing long-range dependencies with linear computational complexity. While Mamba has shown competitive performance in medical image segmentation, it encounters difficulties […]


Continue.. UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation

A Dual Active Black Hole Candidate with Mass Ratio ~7:1 in a Disk Galaxy

Kavli Affiliate: Luis C. Ho | First 5 Authors: Xiao Cao, Yan-Mei Chen, Yong Shi, Junfeng Wang, Zhi-Jie Zhou | Summary: Dual active galactic nuclei (AGNs) with comparable masses are commonly witnessed among the major merged galaxies with interaction remnants. Considering almost every massive galaxy is associated with multiple dwarf satellites around it, minor mergers […]


Continue.. A Dual Active Black Hole Candidate with Mass Ratio ~7:1 in a Disk Galaxy

A Dual Active Black Hole Candidate with Mass Ratio ~7:1 in a Disk Galaxy

Kavli Affiliate: Luis C. Ho | First 5 Authors: Xiao Cao, Yan-Mei Chen, Yong Shi, Junfeng Wang, Zhi-Jie Zhou | Summary: Dual active galactic nuclei (AGNs) with comparable masses are commonly witnessed among the major merged galaxies with interaction remnants. Considering almost every massive galaxy is associated with multiple dwarf satellites around it, minor mergers […]


Continue.. A Dual Active Black Hole Candidate with Mass Ratio ~7:1 in a Disk Galaxy