Glaucoma-associated Optineurin mutations increase transmitophagy in a vertebrate optic nerve

Kavli Affiliate: Mark Ellisman | Authors: Yaeram Jeong, chung-ha Davis, Aaron Muscarella, Viraj Deshpande, Keun-Young Kim, Mark Ellisman and Nicholas Marsh-Armstrong | Summary: We previously described a process referred to as transmitophagy where mitochondria shed by retinal ganglion cell (RGC) axons are transferred to and degraded by surrounding astrocytes in the optic nerve head of […]


Continue.. Glaucoma-associated Optineurin mutations increase transmitophagy in a vertebrate optic nerve

ReSup: Reliable Label Noise Suppression for Facial Expression Recognition

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Yan Lu, Huan Yan, Jingyang Huang, Yusheng Ji | Summary: Because of the ambiguous and subjective property of the facial expression recognition (FER) task, the label noise is widely existing in the FER dataset. For this problem, in the training phase, current FER methods often […]


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High-resolution volumetric imaging constrains compartmental models to explore synaptic integration and temporal processing by cochlear nucleus globular bushy cells

Kavli Affiliate: Mark Ellisman | Authors: George A. Spirou, Matthew Kersting, Sean Carr, Bayan Razzaq, Carolyna Y. Alves-Pinto, Mariah Dawson, Mark H. Ellisman and Paul B. Manis | Summary: Globular bushy cells (GBCs) of the cochlear nucleus play central roles in the temporal processing of sound. Despite investigation over many decades, fundamental questions remain about […]


Continue.. High-resolution volumetric imaging constrains compartmental models to explore synaptic integration and temporal processing by cochlear nucleus globular bushy cells

Probing reaction channels via reinforcement learning

Kavli Affiliate: David T. Limmer | First 5 Authors: Senwei Liang, Aditya N. Singh, Yuanran Zhu, David T. Limmer, Chao Yang | Summary: We propose a reinforcement learning based method to identify important configurations that connect reactant and product states along chemical reaction paths. By shooting multiple trajectories from these configurations, we can generate an […]


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Astrometric Calibration of the Beijing$-$Arizona Sky Survey

Kavli Affiliate: Linhua Jiang | First 5 Authors: Xiyan Peng, Zhaoxiang Qi, Tianmeng Zhang, Zhenyu Wu, Zhimin Zhou | Summary: We present the astrometric calibration of the Beijing-Arizona Sky Survey (BASS). The BASS astrometry was tied to the International Celestial Reference Frame via the emph{Gaia} Data Release 2 reference catalog. For effects that were stable […]


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WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Huangzhao Zhang, Zhi Jin, Ge Li, | Summary: Bug localization, which is used to help programmers identify the location of bugs in source code, is an essential task in software development. Researchers have already made efforts to harness the powerful deep learning (DL) techniques to […]


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Bayesian target optimisation for high-precision holographic optogenetics

Kavli Affiliate: Liam Paninski | Authors: Marcus A Triplett, Marta Gajowa, Hillel Adesnik and Liam Paninski | Summary: Two-photon optogenetics has transformed our ability to probe the structure and function of neural circuits. However, achieving precise optogenetic control of neural ensemble activity has remained fundamentally constrained by the problem of off-target stimulation (OTS): the inadvertent […]


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Mouse models of SYNGAP1-related intellectual disability

Kavli Affiliate: Hey-Kyoung Lee, Richard Huganir | Authors: Yoichi Araki, Elizabeth E. Gerber, Kacey E. Rajkovich, Ingie Hong, Richard C. Johnson, Hey-Kyoung Lee, Alfredo Kirkwood and Richard L. Huganir | Summary: SYNGAP1 is a Ras-GTPase activating protein highly enriched at excitatory synapses in the brain. De novo loss-of-function mutations in SYNGAP1 are a major cause […]


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Contrasting synaptic roles of MDGA1 and MDGA2

Kavli Affiliate: Roger Nicoll | Authors: Michael A. Bemben, Matthew A. Sandoval, Aliza A. Le, Sehoon Won, Vivian N Chau, Julie C. Lauterborn, Salvatore Incontro, Kathy H. Li, Alma L. Burlingame, Katherine W. Roche, Christine M. Gall, Roger A. Nicoll and Javier Diaz-Alonso | Summary: Neurodevelopmental disorders are frequently linked to mutations in synaptic organizing […]


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GC-Flow: A Graph-Based Flow Network for Effective Clustering

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen | Summary: Graph convolutional networks (GCNs) are emph{discriminative models} that directly model the class posterior $p(y|mathbf{x})$ for semi-supervised classification of graph data. While being effective, as a representation learning approach, the node representations extracted from a GCN often miss […]


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