Authors: Majid Mirzanezhad, Richard Twumasi-Boakye, Andrea Broaddus, Tayo Fabusuyi
arXiv
Driven in part by the COVID-19 pandemic, the pace of online purchases for at-home delivery has accelerated significantly. However, responding to this development has been challenging given the lack of...
Authors: Chris Rohlfs
arXiv
This article provides a background and descriptive analysis of insect memory and the coding of olfactory sensation in Drosophila, presenting graphs and summary statistics from a large dataset of neuro...
Authors: Alex B. Kiefer, Beren Millidge, Alexander Tschantz, Christopher L. Buckley
arXiv
Capsule networks are a neural network architecture specialized for visual scene recognition. Features and pose information are extracted from a scene and then dynamically routed through a hierarchy of...
Authors: Pedro Pessoa, Steve Pressé
arXiv
It is ever more common in scientific publishing to ask authors to suggest some reviewers for their own manuscripts. The question then arises: How many submissions does it take to discover friendly sug...
Authors: Lucrezia Carboni, Michel Dojat, Sophie Achard
arXiv
Node role explainability in complex networks is very difficult, yet is crucial in different application domains such as social science, neurosciences or computer science. Many efforts have been made o...
Authors: Massimo Stella, Salvatore Citraro, Giulio Rossetti, Daniele Marinazzo, Yoed N. Kenett, Michael S. Vitevitch
arXiv
The mental lexicon is a complex cognitive system representing information about the words/concepts that one knows. Decades of psychological experiments have shown that conceptual associations across m...
Authors: Hyukjun Gweon, Matthias Schonlau
arXiv
Manual coding of text data from open-ended questions into different categories is time consuming and expensive. Automated coding uses statistical/machine learning to train on a small subset of manuall...
Authors: Stuart Wayland
arXiv
Gerrymandering is the perversion of an election based on manipulation of voting district boundaries, and has been a historically important yet difficult task to analytically prove. We propose a Markov...
Authors: Huiya Zhou, Xiaomeng Yan, Lan Zhou
arXiv
A reduced-rank mixed effects model is developed for robust modeling of sparsely observed paired functional data. In this model, the curves for each functional variable are summarized using a few funct...
Authors: Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng
arXiv
Alzheimer's disease (AD), as a progressive brain disease, affects cognition, memory, and behavior. Similarly, limbic-predominant age-related TDP-43 encephalopathy (LATE) is a recently defined common n...
Authors: Yukang Jiang, Xueqin Wang, Zhixi Xiong, Haisheng Yang, Ting Tian
arXiv
The paper proposes a time-varying parameter global vector autoregressive (TVP-GVAR) framework for predicting and analysing developed region economic variables. We want to provide an easily accessible...
Authors: James C. R. Whittington, Will Dorrell, Surya Ganguli, Timothy E. J. Behrens
arXiv
Neurons in the brain are often finely tuned for specific task variables. Moreover, such disentangled representations are highly sought after in machine learning. Here we mathematically prove that simp...
Authors: Sergey V. Stasenko, Victor B. Kazantsev
arXiv
Mathematical model of spiking neuron network (SNN) supplied by astrocytes is investigated. The astrocytes are specific type of brain cells which are not electrically excitable but inducing chemical mo...
Authors: Stephen Watts, Lisa Crow
arXiv
The histogram is a key method for visualizing data and estimating the underlying probability distribution. Incorrect conclusions about the data result from over or under-binning. A new method based on...
Authors: Alexandra M. Proca, Fernando E. Rosas, Andrea I. Luppi, Daniel Bor, Matthew Crosby, Pedro A. M. Mediano
arXiv
Striking progress has recently been made in understanding human cognition by analyzing how its neuronal underpinnings are engaged in different modes of information processing. Specifically, neural inf...