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Learning Generative Factors of EEG Data with Variational auto-encoders

Authors: Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann

arXiv

Electroencephalography produces high-dimensional, stochastic data from which it might be challenging to extract high-level knowledge about the phenomena of interest. We address this challenge by apply...

mental health psychology open access

On the analysis of a time varying noise-modulated heterogeneous coupled network of Chialvo neurons under the influence of electromagnetic flux

Authors: Indranil Ghosh, Sishu Shankar Muni, Hammed Olawale Fatoyinbo

arXiv

We perform a numerical study on the application of electromagnetic flux on a heterogeneous network of Chialvo neurons represented by a ring-star topology. Heterogeneities are realized by introducing a...

mental health psychology open access

Damage Identification in Fiber Metal Laminates using Bayesian Analysis with Model Order Reduction

Authors: Nanda Kishore Bellam Muralidhar, Carmen GrรครŸle, Natalie Rauter, Andrey Mikhaylenko, Rolf Lammering, Dirk A. Lorenz

arXiv

Fiber metal laminates (FML) are composite structures consisting of metals and fiber reinforced plastics (FRP) which have experienced an increasing interest as the choice of materials in aerospace and...

mental health psychology open access

Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization

Authors: Marta Pelizzola, Ragnhild Laursen, Asger Hobolth

arXiv

The spectrum of mutations in a collection of cancer genomes can be described by a mixture of a few mutational signatures. The mutational signatures can be found using non-negative matrix factorization...

mental health psychology open access

Modelling the Daily Electricity Demand of Electric Vessels in Plymouth

Authors: Lauren Ansell

arXiv

The international Maritime Organization (IMO) has set the target of reducing the emissions from the shipping sector to at least 50% of the 2008 levels. One potential method to cut emissions is to conv...

mental health psychology open access

Deep reinforcement learning for fMRI prediction of Autism Spectrum Disorder

Authors: Joseph Stember, Danielle Stember, Luca Pasquini, Jenabi Merhnaz, Andrei Holodny, Hrithwik Shalu

arXiv

Purpose : Because functional MRI (fMRI) data sets are in general small, we sought a data efficient approach to resting state fMRI classification of autism spectrum disorder (ASD) versus neurotypical (...

mental health psychology open access

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

Authors: Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum-Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdulhamit Subasi, Roohallah Alizadehsani, Juan M. Gorriz, Sara A Abdulla, U. Rajendra Acharya

arXiv

Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and symptoms that appear in early childhood. ASD is also associated with communication deficits and repetitive behavi...

mental health psychology open access

Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers

Authors: Aidan J. Hughes, Paul Gardner, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden

arXiv

Gaining the ability to make informed decisions on operation and maintenance of structures provides motivation for the implementation of structural health monitoring (SHM) systems. However, descriptive...

mental health psychology open access

SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data

Authors: Hyunsung Kim, Bit Kim, Dongwook Chung, Jinsung Yoon, Sang-Ki Ko

arXiv

In fluid team sports such as soccer and basketball, analyzing team formation is one of the most intuitive ways to understand tactics from domain participants' point of view. However, existing approach...

mental health psychology open access

Scaling multi-species occupancy models to large citizen science datasets

Authors: Martin Ingram, Damjan Vukcevic, Nick Golding

arXiv

Citizen science datasets can be very large and promise to improve species distribution modelling, but detection is imperfect, risking bias when fitting models. In particular, observers may not detect...

mental health psychology open access

A theory of learning with constrained weight-distribution

Authors: Weishun Zhong, Ben Sorscher, Daniel D Lee, Haim Sompolinsky

arXiv

A central question in computational neuroscience is how structure determines function in neural networks. The emerging high-quality large-scale connectomic datasets raise the question of what general...

mental health psychology open access

Has the Relationship between Urban and Suburban Automobile Travel Changed across Generations? Comparing Millennials and Generation Xers in the United States

Authors: Xize Wang

arXiv

Using U.S. nationwide travel surveys for 1995, 2001, 2009 and 2017, this study compares Millennials with their previous generation (Gen Xers) in terms of their automobile travel across different neigh...

mental health psychology open access

ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces

Authors: Omair Ali, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes

arXiv

Objective: Electroencephalography (EEG) and electromyography (EMG) are two non-invasive bio-signals, which are widely used in human machine interface (HMI) technologies (EEG-HMI and EMG-HMI paradigm)...

mental health psychology open access

Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics

Authors: Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu

arXiv

Infectious diseases remain among the top contributors to human illness and death worldwide, among which many diseases produce epidemic waves of infection. The unavailability of specific drugs and read...

mental health psychology open access

A Multivariate Point Process Model for Simultaneously Recorded Neural Spike Trains

Authors: Reza Ramezan, Meixi Chen, Martin Lysy, Paul Marriott

arXiv

The current state-of-the-art in neurophysiological data collection allows for simultaneous recording of tens to hundreds of neurons, for which point processes are an appropriate statistical modelling...

mental health psychology open access