Representations of information value in mouse orbitofrontal cortex during information seeking

Kavli Affiliate: Richard Axel | Authors: Jennifer J Bussell, Ryan P Badman, Christian David Márton, Ethan S Bromberg-Martin, LF Abbott, Kanaka Rajan and Richard Axel | Summary: HAnimals are motivated to acquire knowledge of their world. They seek information that does not influence reward outcomes suggesting that information has intrinsic value. We have asked whether […]


Continue.. Representations of information value in mouse orbitofrontal cortex during information seeking

Parkinsonism Sac domain mutation in Synaptojanin-1 affects ciliary properties in iPSC-derived dopaminergic neurons

Kavli Affiliate: Pietro De Camilli | Authors: Nisha Mohd Rafiq, Kenshiro Fujise, Martin Rosenfeld, Peng Xu, Yumei Wu and Pietro De Camilli | Summary: Synaptojanin-1 (SJ1) is a major neuronal-enriched PI(4,5)P2 4- and 5-phosphatase implicated in the shedding of endocytic factors during endocytosis. A mutation (R258Q) that impairs selectively its 4-phosphatase activity causes Parkinsonism in […]


Continue.. Parkinsonism Sac domain mutation in Synaptojanin-1 affects ciliary properties in iPSC-derived dopaminergic neurons

Exploring the Dependence of Gas Cooling and Heating Functions on the Incident Radiation Field with Machine Learning

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: David Robinson, Camille Avestruz, Nickolay Y. Gnedin, , | Summary: Gas cooling and heating functions play a crucial role in galaxy formation. But, it is computationally expensive to exactly compute these functions in the presence of an incident radiation field. These computations can be greatly sped […]


Continue.. Exploring the Dependence of Gas Cooling and Heating Functions on the Incident Radiation Field with Machine Learning

Unraveling emission line galaxy conformity at z~1 with DESI early data

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Sihan Yuan, Risa H. Wechsler, Yunchong Wang, Mithi A. C. de los Reyes, Justin Myles | Summary: Emission line galaxies (ELGs) are now the preeminent tracers of large-scale structure at z>0.8 due to their high density and strong emission lines, which enable accurate redshift measurements. However, […]


Continue.. Unraveling emission line galaxy conformity at z~1 with DESI early data

Exploring the Dependence of Gas Cooling and Heating Functions on the Incident Radiation Field with Machine Learning

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: David Robinson, Camille Avestruz, Nickolay Y. Gnedin, , | Summary: Gas cooling and heating functions play a crucial role in galaxy formation. But, it is computationally expensive to exactly compute these functions in the presence of an incident radiation field. These computations can be greatly sped […]


Continue.. Exploring the Dependence of Gas Cooling and Heating Functions on the Incident Radiation Field with Machine Learning

High temperature ferrimagnetic semiconductors by spin-dependent doping in high temperature antiferromagnets

Kavli Affiliate: Gang Su | First 5 Authors: Jia-Wen Li, Gang Su, Bo Gu, , | Summary: To realize room temperature ferromagnetic (FM) semiconductors is still a challenge in spintronics. Many antiferromagnetic (AFM) insulators and semiconductors with high Neel temperature $T_N$ are obtained in experiments, such as LaFeO$_3$, BiFeO$_3$, etc. High concentrations of magnetic impurities […]


Continue.. High temperature ferrimagnetic semiconductors by spin-dependent doping in high temperature antiferromagnets

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Kavli Affiliate: Jeffrey F. Miller| First 5 Authors: Open X-Embodiment Collaboration, Open X-Embodiment Collaboration, , , | Summary:Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, this has led to a consolidation of pretrained models, with general pretrained backbones serving as […]


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Semi-Supervised End-To-End Contrastive Learning For Time Series Classification

Kavli Affiliate: Xiang Zhang | First 5 Authors: Huili Cai, Xiang Zhang, Xiaofeng Liu, , | Summary: Time series classification is a critical task in various domains, such as finance, healthcare, and sensor data analysis. Unsupervised contrastive learning has garnered significant interest in learning effective representations from time series data with limited labels. The prevalent […]


Continue.. Semi-Supervised End-To-End Contrastive Learning For Time Series Classification

Semi-Supervised End-To-End Contrastive Learning For Time Series Classification

Kavli Affiliate: Xiang Zhang | First 5 Authors: Huili Cai, Xiang Zhang, Xiaofeng Liu, , | Summary: Time series classification is a critical task in various domains, such as finance, healthcare, and sensor data analysis. Unsupervised contrastive learning has garnered significant interest in learning effective representations from time series data with limited labels. The prevalent […]


Continue.. Semi-Supervised End-To-End Contrastive Learning For Time Series Classification