Regional and LTP-Dependent Variation of Synaptic Information Storage Capacity in Rat Hippocampus

Kavli Affiliate: Terrence Sejnowski | Authors: Mohammad Samavat, Thomas M Bartol, Cailey Bromer, Jared B Bowden, Dusten D Hubbard, Dakota C Hanka, Masaaki Kuwajima, John M Mendenhall, Patrick H Parker, Wickliffe C Abraham, Kristen M Harris and Terrence J Sejnowski | Summary: Abstract Synapses from the same axon onto the same dendrite have a common […]


Continue.. Regional and LTP-Dependent Variation of Synaptic Information Storage Capacity in Rat Hippocampus

The EDGE-CALIFA survey: The role of spiral arms and bars in driving central molecular gas concentrations

Kavli Affiliate: Luis C. Ho | First 5 Authors: Si-Yue Yu, Veselina Kalinova, Dario Colombo, Alberto D. Bolatto, Tony Wong | Summary: Shocks and torques produced by non-axisymmetric structures such as spiral arms and bars may transport gas to galaxy central regions. We test this hypothesis by studying the dependence of concentration of CO luminosity […]


Continue.. The EDGE-CALIFA survey: The role of spiral arms and bars in driving central molecular gas concentrations

The EDGE-CALIFA survey: the role of spiral arms and bars in driving central molecular gas concentrations

Kavli Affiliate: Luis C. Ho | First 5 Authors: Si-Yue Yu, Veselina Kalinova, Dario Colombo, Alberto D. Bolatto, Tony Wong | Summary: Shocks and torques produced by non-axisymmetric structures such as spiral arms and bars may transport gas to galaxy central regions. We test this hypothesis by studying the dependence of concentration of CO luminosity […]


Continue.. The EDGE-CALIFA survey: the role of spiral arms and bars in driving central molecular gas concentrations

Towards reliable head and neck cancers locoregional recurrence prediction using delta-radiomics and learning with rejection option

Kavli Affiliate: Jing Wang | First 5 Authors: Kai Wang, Michael Dohopolski, Qiongwen Zhang, David Sher, Jing Wang | Summary: A reliable locoregional recurrence (LRR) prediction model is important for the personalized management of head and neck cancers (HNC) patients. This work aims to develop a delta-radiomics feature-based multi-classifier, multi-objective, and multi-modality (Delta-mCOM) model for […]


Continue.. Towards reliable head and neck cancers locoregional recurrence prediction using delta-radiomics and learning with rejection option

A Learning-Based 3D EIT Image Reconstruction Method

Kavli Affiliate: Yi Zhou | First 5 Authors: Zhaoguang Yi, Zhou Chen, Yunjie Yang, , | Summary: Deep learning has been widely employed to solve the Electrical Impedance Tomography (EIT) image reconstruction problem. Most existing physical model-based and learning-based approaches focus on 2D EIT image reconstruction. However, when they are directly extended to the 3D […]


Continue.. A Learning-Based 3D EIT Image Reconstruction Method

The Carnegie-Irvine Galaxy Survey. X. Bulges in Stellar Mass-based Scaling Relations

Kavli Affiliate: Luis C. Ho | First 5 Authors: Hua Gao, Luis C. Ho, Zhao-Yu Li, , | Summary: We measure optical colors for the bulges of 312 disk galaxies from the Carnegie-Irvine Galaxy Survey and convert their previously available $R$-band structural parameters to stellar mass parameters. We also measure their average stellar mass surface […]


Continue.. The Carnegie-Irvine Galaxy Survey. X. Bulges in Stellar Mass-based Scaling Relations

Structure of domain walls in chiral spin liquids

Kavli Affiliate: Joel E. Moore | First 5 Authors: Yan-Qi Wang, Chunxiao Liu, Joel E. Moore, , | Summary: The chiral spin liquid is one of the canonical examples of a topological state of quantum spins coexisting with symmetry-breaking chiral order; its experimental realization has been actively discussed in the past few years. Here, motivated […]


Continue.. Structure of domain walls in chiral spin liquids

Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, Jinming Liu, Heming Sun, Jiro Katto, | Summary: Lossless image compression is an essential research field in image compression. Recently, learning-based image compression methods achieved impressive performance compared with traditional lossless methods, such as WebP, JPEG2000, and FLIF. However, there are still many impressive lossy […]


Continue.. Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules

GPI 2.0: Characterizing Self-Luminous Exoplanets Through Low-Resolution Infrared Spectroscopy

Kavli Affiliate: Arlene Aleman | Summary:Direct imaging characterization of extrasolar planets is often done at low spectral resolution. We model the spectrograph for the Gemini Planet Imager upgrade (GPI 2.0) and assess the instrument’s potential for allowing observers to constrain exoplanet properties through analysis of near-infrared spectra. We simulated noisy observations followed by calculations of […]


Continue.. GPI 2.0: Characterizing Self-Luminous Exoplanets Through Low-Resolution Infrared Spectroscopy

Reconstructing Large-scale Temperature Profiles around $zsim 6$ Quasars

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: Huanqing Chen, Rupert Croft, Nickolay Y. Gnedin, , | Summary: High-redshift quasars ionize HeII into HeIII around them, heating the IGM in the process and creating large regions with elevated temperature. In this work, we demonstrate a method based on a convolutional neural network (CNN) to […]


Continue.. Reconstructing Large-scale Temperature Profiles around $zsim 6$ Quasars