Hypomyelination reduces parvalbumin interneuron density and auditory cortex inhibitory function

Kavli Affiliate: Patrick Kanold | Authors: Beatriz C Borges, Xiangying Meng, Patrick Long, Patrick O Kanold and Gabriel Corfas | Summary: For a long time, myelin was thought to be restricted to excitatory neurons, and studies on dysmyelination focused primarily on excitatory cells. Recent evidence showed that axons of inhibitory neurons in the neocortex are […]


Continue.. Hypomyelination reduces parvalbumin interneuron density and auditory cortex inhibitory function

EMPRESS. VIII. A New Determination of Primordial He Abundance with Extremely Metal-Poor Galaxies: A Suggestion of the Lepton Asymmetry and Implications for the Hubble Tension

Kavli Affiliate: Masahiro Kawasaki | First 5 Authors: Akinori Matsumoto, Masami Ouchi, Kimihiko Nakajima, Masahiro Kawasaki, Kai Murai | Summary: The primordial He abundance $Y_mathrm{P}$ is a powerful probe of cosmology. Currently, $Y_mathrm{P}$ is best determined by observations of metal-poor galaxies, while there are only a few known local extremely metal-poor ($<0.1 Z_odot$) galaxies (EMPGs) […]


Continue.. EMPRESS. VIII. A New Determination of Primordial He Abundance with Extremely Metal-Poor Galaxies: A Suggestion of the Lepton Asymmetry and Implications for the Hubble Tension

EMPRESS. VIII. A New Determination of Primordial He Abundance with Extremely Metal-Poor Galaxies: A Suggestion of the Lepton Asymmetry and Implications for the Hubble Tension

Kavli Affiliate: Masahiro Kawasaki | First 5 Authors: Akinori Matsumoto, Masami Ouchi, Kimihiko Nakajima, Masahiro Kawasaki, Kai Murai | Summary: The primordial He abundance $Y_P$ is a powerful probe of cosmology. Currently, $Y_P$ is best determined by observations of metal-poor galaxies, while there are only a few known local extremely metal-poor ($<0.1 Z_odot$) galaxies (EMPGs) […]


Continue.. EMPRESS. VIII. A New Determination of Primordial He Abundance with Extremely Metal-Poor Galaxies: A Suggestion of the Lepton Asymmetry and Implications for the Hubble Tension

Radio pulsations from a neutron star within the gamma-ray binary LS I +61$^{circ}$ 303

Kavli Affiliate: Renxin Xu | First 5 Authors: Shan-Shan Weng, Lei Qian, Bo-Jun Wang, D. F. Torres, A. Papitto | Summary: LS I +61$^{circ}$ 303 is one of the rare gamma-ray binaries, emitting most of their luminosity in photons with energies beyond 100 MeV. The $sim$26.5 d orbital period is clearly detected at many wavelengths. […]


Continue.. Radio pulsations from a neutron star within the gamma-ray binary LS I +61$^{circ}$ 303

The Aemulus Project V: Cosmological constraint from small-scale clustering of BOSS galaxies

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Zhongxu Zhai, Jeremy L. Tinker, Arka Banerjee, Joseph DeRose, Hong Guo | Summary: We analyze clustering measurements of BOSS galaxies using a simulation-based emulator of two-point statistics. We focus on the monopole and quadrupole of the redshift-space correlation function, and the projected correlation function, at scales […]


Continue.. The Aemulus Project V: Cosmological constraint from small-scale clustering of BOSS galaxies

Discovering the building blocks of dark matter halo density profiles with neural networks

Kavli Affiliate: Brian Nord | First 5 Authors: Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam | Summary: The density profiles of dark matter halos are typically modeled using empirical formulae fitted to the density profiles of relaxed halo populations. We present a neural network model that is trained to learn the […]


Continue.. Discovering the building blocks of dark matter halo density profiles with neural networks

Discovering the building blocks of dark matter halo density profiles with neural networks

Kavli Affiliate: Brian Nord | First 5 Authors: Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam | Summary: The density profiles of dark matter halos are typically modeled using empirical formulae fitted to the density profiles of relaxed halo populations. We present a neural network model that is trained to learn the […]


Continue.. Discovering the building blocks of dark matter halo density profiles with neural networks

Near-Zone Symmetries of Kerr Black Holes

Kavli Affiliate: Austin Joyce | First 5 Authors: Lam Hui, Austin Joyce, Riccardo Penco, Luca Santoni, Adam R. Solomon | Summary: We study the near-zone symmetries of a massless scalar field on four-dimensional black hole backgrounds. We provide a geometric understanding that unifies various recently discovered symmetries as part of an SO(4,2) group. Of these, […]


Continue.. Near-Zone Symmetries of Kerr Black Holes

CUE Vectors: Modular Training of Language Models Conditioned on Diverse Contextual Signals

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Scott Novotney, Sreeparna Mukherjee, Zeeshan Ahmed, Andreas Stolcke, | Summary: We propose a framework to modularize the training of neural language models that use diverse forms of sentence-external context (including metadata) by eliminating the need to jointly train sentence-external and within-sentence encoders. Our approach, contextual universal embeddings […]


Continue.. CUE Vectors: Modular Training of Language Models Conditioned on Diverse Contextual Signals

Cosmo-Paleontology: Statistics of Fossil Groups in a Gravity-Only Simulation

Kavli Affiliate: Salman Habib | First 5 Authors: Aurora Cossairt, Michael Buehlmann, Eve Kovacs, Xin Liu, Salman Habib | Summary: We present a detailed study of fossil group candidates identified in "Last Journey", a gravity-only cosmological simulation covering a $(3.4, h^{-1}mathrm{Gpc})^3$ volume with a particle mass resolution of $m_p approx 2.7 times 10^9, h^{-1}mathrm{M}_odot$. The […]


Continue.. Cosmo-Paleontology: Statistics of Fossil Groups in a Gravity-Only Simulation