TRPV1 drugs alter core body temperature via central projections of primary afferent sensory neurons

Posted by klaurent UCSF

Kavli Affiliate:Allan Basbaum | Authors: Wendy W.S. Yue, Lin Yuan, Joao M. Bráz, Allan I. Basbaum and David Julius | Summary: TRPV1, a capsaicin- and heat-sensitive ion channel, is expressed by peripheral nociceptors and has been implicated in various inflammatory and neuropathic pain conditions. Although pharmacological modulation of TRPV1 has attracted therapeutic interest, their utility […]


Continue.. TRPV1 drugs alter core body temperature via central projections of primary afferent sensory neurons

Forecasting ground-based sensitivity to the Rayleigh scattering of the CMB in the presence of astrophysical foregrounds

Posted by klaurent Stanford

Kavli Affiliate: W. L. Kimmy Wu | First 5 Authors: Karia R. Dibert, Adam J. Anderson, Amy N. Bender, Bradford A. Benson, Federico Bianchini | Summary: The Rayleigh scattering of cosmic microwave background (CMB) photons off the neutral hydrogen produced during recombination effectively creates an additional scattering surface after recombination that encodes new cosmological information, […]


Continue.. Forecasting ground-based sensitivity to the Rayleigh scattering of the CMB in the presence of astrophysical foregrounds

Forecasting ground-based sensitivity to the Rayleigh scattering of the CMB in the presence of astrophysical foregrounds

Posted by klaurent Chicago

Kavli Affiliate: John E. Carlstrom, Bradford A. Benson | First 5 Authors: Karia R. Dibert, Adam J. Anderson, Amy N. Bender, Bradford A. Benson, Federico Bianchini | Summary: The Rayleigh scattering of cosmic microwave background (CMB) photons off the neutral hydrogen produced during recombination effectively creates an additional scattering surface after recombination that encodes new […]


Continue.. Forecasting ground-based sensitivity to the Rayleigh scattering of the CMB in the presence of astrophysical foregrounds

Concordance between observations and simulations in the evolution of the mass relation between supermassive black holes and their host galaxies

Posted by klaurent Tokyo

Kavli Affiliate: John D. Silverman | First 5 Authors: Xuheng Ding, John D. Silverman, Tommaso Treu, Junyao Li, Aklant K. Bhowmick | Summary: We carry out a comparative analysis of the relation between the mass of supermassive black holes (BHs) and the stellar mass of their host galaxies at $0.2<z<1.7$ using well-matched observations and multiple […]


Continue.. Concordance between observations and simulations in the evolution of the mass relation between supermassive black holes and their host galaxies

Concordance between observations and simulations in the evolution of the mass relation between supermassive black holes and their host galaxies

Posted by klaurent Tokyo

Kavli Affiliate: John D. Silverman | First 5 Authors: Xuheng Ding, John D. Silverman, Tommaso Treu, Junyao Li, Aklant K. Bhowmick | Summary: We carry out a comparative analysis of the relation between the mass of supermassive black holes (BHs) and the stellar mass of their host galaxies at $0.2<z<1.7$ using well-matched observations and multiple […]


Continue.. Concordance between observations and simulations in the evolution of the mass relation between supermassive black holes and their host galaxies

Insights into the origin of halo mass profiles from machine learning

Posted by klaurent Stanford

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Luisa Lucie-Smith, Susmita Adhikari, Risa H. Wechsler, , | Summary: The mass distribution of dark matter haloes is the result of the hierarchical growth of initial density perturbations through mass accretion and mergers. We use an interpretable machine-learning framework to provide physical insights into the origin […]


Continue.. Insights into the origin of halo mass profiles from machine learning

Introspective Deep Metric Learning

Posted by klaurent UCAS

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu | Summary: This paper proposes an introspective deep metric learning (IDML) framework for uncertainty-aware comparisons of images. Conventional deep metric learning methods produce confident semantic distances between images regardless of the uncertainty level. However, we argue that […]


Continue.. Introspective Deep Metric Learning

A neural network model for timing control with reinforcement

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Yousuf El-Jayyousi, Ilker Ozden, , | Summary: How do humans and animals perform trial-and-error learning when the space of possibilities is infinite? In a previous study, we used an interval timing production task and discovered an updating strategy in which the agent adjusted the behavioral […]


Continue.. A neural network model for timing control with reinforcement

On the faintest solar coronal hard X-rays observed with FOXSI

Posted by klaurent Tokyo

Kavli Affiliate: Tadayuki Takahashi | First 5 Authors: Juan Camilo Buitrago-Casas, Lindsay Glesener, Steven Christe, Säm Krucker, Juliana Vievering | Summary: Solar nanoflares are small eruptive events releasing magnetic energy in the quiet corona. If nanoflares follow the same physics as their larger counterparts, they should emit hard X-rays (HXRs) but with a rather faint […]


Continue.. On the faintest solar coronal hard X-rays observed with FOXSI