Article
Neurosciences
Ryoki Sasaki, Sho Kojima, Naofumi Otsuru, Hirotake Yokota, Kei Saito, Hiroshi Shirozu, Hideaki Onishi
Summary: This study investigated the mechanisms of cortical connections in adult tactile perception and found that the connections within the somatosensory cortex and between different somatosensory cortices are related to tactile spatial acuity. This is the first study to demonstrate the functional support of specific cortical networks for tactile spatial acuity.
Article
Psychology, Mathematical
Don van den Bergh, Merlise A. Clyde, Akash R. Komarlu Narendra Gupta, Tim de Jong, Quentin F. Gronau, Maarten Marsman, Alexander Ly, Eric-Jan Wagenmakers
Summary: Linear regression analysis commonly involves two stages: defining the best model and using regression coefficients for prediction and evaluation; traditional inference methods often ignore model uncertainty, leading to overconfident parameter estimates. Model averaging is a technique that overcomes these drawbacks by weighting the contribution of each model for inference.
BEHAVIOR RESEARCH METHODS
(2021)
Article
Multidisciplinary Sciences
Boris Hanin, Alexander Zlokapa
Summary: This article investigates how the depth, width, and dataset size of neural networks jointly affect model quality and presents a complete solution in the case of linear networks. The study reveals the joint role of depth, width, and dataset size through asymptotic expansions of Meijer-G functions. It shows that linear networks make provably optimal predictions at infinite depth.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Computer Science, Hardware & Architecture
Tinghuan Chen, Bingqing Lin, Hao Geng, Shiyan Hu, Bei Yu
Summary: Sensor drift is a challenging obstacle in temperature measurement in smart buildings. The proposed framework utilizes a sensor spatial correlation model and MAP estimation to calibrate drifts, with an alternating-based method to solve the nonconvex problem. Experimental results show that the framework achieves better accuracy and runtime tradeoff compared to state-of-the-art methods.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2021)
Article
Biology
Somin Lee, Sarita S. Deshpande, Edward M. Merricks, Emily Schlafly, Robert Goodman, Guy M. McKhann, Emad N. Eskandar, Joseph R. Madsen, Sydney S. Cash, Michel J. A. M. van Putten, Catherine A. Schevon, Wim van Drongelen
Summary: This study investigates the relationship between the fast action potentials of individual neurons and the slower fluctuations of the local field potential by adding a spatial component. The theoretical derivation and real-world observations using microelectrode array recordings demonstrate a consistent pattern. The findings suggest that in some cases, the temporal pattern of neural activity can predict the underlying spatial pattern.
COMMUNICATIONS BIOLOGY
(2023)
Article
Multidisciplinary Sciences
Stephane Guindon, Nicola De Maio
Summary: Statistical phylogeography provides tools to characterize organism spread during evolution. However, assumptions about georeferenced genetic data collection locations may impact spatial and demographic dynamics inference. This study introduces a Bayesian model to address this issue and shows how sampling strategies can affect our understanding of biodiversity forces shaping across time and space.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Multidisciplinary Sciences
Stephane Guindon, Nicola De Maio
Summary: Statistical phylogeography provides tools to characterize and quantify the spread of organisms in evolution. This study introduces a Bayesian modeling approach that accommodates for spatial sampling strategies and describes an inference technique suited for modeling data where sequences are preferentially collected at certain locations. The analysis shows how assumptions about spatial sampling may impact understanding of forces shaping biodiversity across time and space.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Neurosciences
Jennifer Brown, Ian Anton Oldenburg, Gregory Telian, Sandon Griffin, Mieke Voges, Vedant Jain, Hillel Adesnik
Summary: Active haptic sensation is crucial for object identification, with animals needing to summate input from multiple whiskers specifically along the whisker arc. Cortical neurons across whiskers encode each orientation, and acute optogenetic manipulation reveals that infragranular layers alone are insufficient to solve the task.
Article
Multidisciplinary Sciences
Jiaqi Teng, Shuzhen Ding, Huiguo Zhang, Xijian Hu
Summary: In this study, nonparametric terms are introduced into spatial econometric models, and the MCMCINLA estimation method for varying coefficient spatial lag models is proposed. Empirical analysis is conducted on the socio-economic data of mainland China from 2015 to 2020 to discuss the influencing factors and spatial and temporal distribution characteristics of China's economic development under the classical spatial lag model and the varying coefficient spatial lag model with population aging as a special covariate, respectively. The results show that population aging will inhibit regional economic development to a certain extent, while urbanization, resident income, real estate development, and high-tech development will drive economic growth, with high-tech development having the strongest impact. Compared to the classical spatial lag model, the varying coefficient spatial lag model can better exploit the information of variables in a more realistic context and derive the variable evolution process.
Article
Mathematics
Virgilio Gomez-Rubio, Roger S. Bivand, Havard Rue
Summary: The integrated nested Laplace approximation (INLA) offers a fast and effective method for marginal inference in Bayesian hierarchical models, implemented in the R-INLA package. This paper outlines the implementation and application of a new class of latent models through R-INLA, particularly in spatial econometrics.
Article
Physics, Multidisciplinary
Vijay Varma, Sylvia Biscoveanu, Tousif Islam, Feroz H. Shaik, Carl-Johan Haster, Maximiliano Isi, Will M. Farr, Scott E. Field, Salvatore Vitale
Summary: The final black hole formed after a binary black hole merger can have a significant recoil velocity, which has important implications for gravitational wave astronomy, black hole formation scenarios, testing general relativity, and galaxy evolution. This study analyzes the gravitational wave signal from the GW200129 binary black hole merger and provides the first identification of a large kick velocity for an individual event. The study also estimates the probability of retaining the remnant black hole after the merger and discusses the potential impact of kick effects on ringdown tests of general relativity.
PHYSICAL REVIEW LETTERS
(2022)
Article
Biochemical Research Methods
Mohammad Reza Keshtkaran, Andrew R. Sedler, Raeed H. Chowdhury, Raghav Tandon, Diya Basrai, Sarah L. Nguyen, Hansem Sohn, Mehrdad Jazayeri, Lee E. Miller, Chethan Pandarinath
Summary: AutoLFADS is a model-tuning framework that automatically generates high-performing autoencoding models on data from different brain areas and tasks.
Article
Biochemical Research Methods
John A. Rhodes, Hector Banos, Jonathan D. Mitchell, Elizabeth S. Allman
Summary: MSCquartets is an R package for species tree hypothesis testing, inference of species trees, and inference of species networks. It takes collections of metric or topological locus trees as input, summarizes them using quartets, and displays hypothesis test results in a simplex plot. The package implements algorithms for topological and metric species tree inference, as well as level-1 topological species network inference.
Article
Biology
Anuththara Rupasinghe, Nikolas Francis, Ji Liu, Zac Bowen, Patrick O. Kanold, Behtash Babadi
Summary: In this work, a new method is proposed to directly estimate signal and noise correlations from two-photon fluorescence observations without the need for intermediate spike deconvolution. The method provides theoretical guarantees and demonstrates its utility through applications to data from the mouse auditory cortex.
Article
Mathematics, Applied
Francisco Louzada, Diego Carvalho do Nascimento, Osafu Augustine Egbon
Summary: Spatial documentation is increasing exponentially due to Big Data in the Internet of Things, but Bayesian spatial statistics are not as well explored compared to other machine-learning models. This systematic review aims to address this gap and identify research opportunities in the past 20 years.
Article
Neurosciences
Lux Li, Arielle Chan, Shah M. Iqbal, Daniel Goldreich
FRONTIERS IN HUMAN NEUROSCIENCE
(2017)
Correction
Oncology
Lee-Hwa Tai, Abhirami A. Ananth, Rashmi Seth, Almohanad Alkayyal, Jiqing Zhang, Christiano Tanese De Souza, Phillip Staibano, Michael A. Kennedy, Rebecca C. Auer
Article
Oncology
Lee-Hwa Tai, Abhirami A. Ananth, Rashmi Seth, Almohanad Alkayyal, Jiqing Zhang, Christiano Tanese de Souza, Phillip Staibano, Michael A. Kennedy, Rebecca C. Auer
Article
Neurosciences
James A. Morrison, Roberto Valdizon-Rodriguez, Daniel Goldreich, Paul A. Faure
JOURNAL OF NEUROPHYSIOLOGY
(2018)
Article
Hematology
I. Nazy, R. Clare, P. Staibano, T. E. Warkentin, M. Larche, J. C. Moore, J. W. Smith, R. P. Whitlock, J. G. Kelton, D. M. Arnold
JOURNAL OF THROMBOSIS AND HAEMOSTASIS
(2018)
Review
Hematology
Phillip Staibano, Iris Perelman, Julia Lombardi, Alexandra Davis, Alan Tinmouth, Marc Carrier, Ciara Stevenson, Elianna Saidenberg
TRANSFUSION MEDICINE REVIEWS
(2019)
Article
Otorhinolaryngology
Phillip Staibano, Daniel Lelli, Darren Tse
JOURNAL OF OTOLARYNGOLOGY-HEAD & NECK SURGERY
(2019)
Article
Oncology
John R. de Almeida, Christopher M. K. L. Yao, Hedyeh Ziai, Phillip Staibano, Shao Hui Huang, Ali Hosni, Andrew Hope, Scott Bratman, Eric Monteiro, Ralph W. Gilbert, Dale H. Brown, Patrick J. Gullane, Jonathan C. Irish, Jie Su, Wei Xu, David P. Goldstein
Article
Otorhinolaryngology
Phillip Staibano, James P. Bonaparte
JOURNAL OF OTOLARYNGOLOGY-HEAD & NECK SURGERY
(2020)
Review
Anesthesiology
Indranil Balki, James S. Khan, Phillip Staibano, Emmanuelle Duceppe, Amal Bessissow, Erin N. Sloan, Erin E. Morley, Alexandra N. Thompson, Breagh Devereaux, Constanza Rojas, Camila Rojas, Naveed Siddiqui, Daniel I. Sessler, P. J. Devereaux
ANESTHESIA AND ANALGESIA
(2020)
Review
Medicine, Research & Experimental
Phillip Staibano, David Forner, Christopher W. Noel, Han Zhang, Michael Gupta, Eric Monteiro, Anna M. Sawka, Jesse D. Pasternak, David P. Goldstein, John R. de Almeida
Summary: This meta-analysis examined the use of sonographic criteria in predicting malignancy in indeterminate thyroid nodules, finding variations in sensitivity and specificity among different criteria. The study suggests that Bethesda III nodules with low-suspicion TIRADS features may benefit from clinical observation, while nodules with high-suspicion ATA features may require additional molecular testing or surgery.
Review
Otorhinolaryngology
Phillip Staibano, Marc Levin, Tobial McHugh, Michael Gupta, Doron D. Sommer
Summary: This study evaluated the association of tracheostomy with outcomes in COVID-19 patients and the risk of SARS-CoV-2 transmission among healthcare professionals. Early tracheostomy may reduce ICU stay in COVID-19 patients, but the observational nature of the included studies limits the findings.
JAMA OTOLARYNGOLOGY-HEAD & NECK SURGERY
(2021)
Article
Biophysics
Kaian Unwalla, Daniel Goldreich, David I. Shore
Summary: Exploring the integration of internal and external reference frames in tactile perception, the study found that responses based on a spatiotopic bias result in a larger deficit in tactile temporal-order judgments when hands are crossed over the midline, while responses based on an anatomical bias lead to a smaller deficit. This suggests that observers can adjust the relative weight given to each reference frame.
MULTISENSORY RESEARCH
(2021)
Review
Urology & Nephrology
Phillip Staibano, Iris Perelman, Julia Lombardi, Alexandra Davis, Alan Tinmouth, Marc Carrier, Ciara Stevenson, Elianna Saidenberg
Review
Hematology
Phillip Staibano, Donald M. Arnold, Dawn M. E. Bowdish, Ishac Nazy
BRITISH JOURNAL OF HAEMATOLOGY
(2017)