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Journal ArticleDOI
Orchestrated ensemble activities constitute a hippocampal memory engram.
Khaled Ghandour,Noriaki Ohkawa,Chi Chung Alan Fung,Hirotaka Asai,Yoshito Saitoh,Takashi Takekawa,Reiko Okubo-Suzuki,Shingo Soya,Hirofumi Nishizono,Mina Matsuo,Makoto Osanai,Masaaki Sato,Masamichi Ohkura,Masamichi Ohkura,Junichi Nakai,Yasunori Hayashi,Yasunori Hayashi,Takeshi Sakurai,Takashi Kitamura,Tomoki Fukai,Kaoru Inokuchi +20 more
TL;DR: The authors show that engram cells in the mouse hippocampus are organized into sub-ensembles representing distinct pieces of information, which are then orchestrated to constitute an entire memory.
Proceedings ArticleDOI
Co-Attentive Multi-Task Learning for Explainable Recommendation.
TL;DR: This paper designs an encoder-selector-decoder architecture inspired by human’s information-processing model in cognitive psychology and proposes a hierarchical co-attentive selector to effectively model the cross knowledge transferred for both tasks.
Journal ArticleDOI
Non-negative matrix factorization based methods for object recognition
Weixiang Liu,Nanning Zheng +1 more
TL;DR: This paper investigates how to improve the accuracy of recognition based on non-negative matrix factorization from two viewpoints by adopting a Riemannian metric like distance for the learned feature vectors instead of Euclidean distance.
Journal ArticleDOI
Murine single-cell RNA-seq reveals cell-identity- and tissue-specific trajectories of aging.
Jacob C. Kimmel,Lolita Penland,Nimrod D. Rubinstein,David G. Hendrickson,David R. Kelley,Adam Z. Rosenthal +5 more
TL;DR: It is found that both cell identities and tissue environments exert influence on the trajectory and magnitude of aging, with cell identity influence predominating.
Journal ArticleDOI
Subspace Matching Pursuit for Sparse Unmixing of Hyperspectral Data
TL;DR: Inspired by the existing SGA methods, a novel GA termed subspace matching pursuit (SMP) is presented, which makes use of the low-degree mixed pixels in the hyperspectral image to iteratively find a subspace to reconstruct the Hyperspectral data and can serve as a dictionary pruning algorithm.
Related Papers (5)
Learning the parts of objects by non-negative matrix factorization
Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values†
Pentti Paatero,Unto Tapper +1 more