365 Hits in 10.6 sec

Cosmic-ray propagation with DRAGON2: I. numerical solver and astrophysical ingredients

Carmelo Evoli, Daniele Gaggero, Andrea Vittino, Giuseppe Di Bernardo, Mattia Di Mauro, Arianna Ligorini, Piero Ullio, Dario Grasso
2017 Journal of Cosmology and Astroparticle Physics  
We present version 2 of the DRAGON code designed for computing realistic predictions of the CR densities in the Galaxy.  ...  homogeneous galactic transport paradigm.  ...  We thank Iris Gebauer and her team (Matthias Weinreuter, Simon Kunz, Florian Keller) for their help with the debugging and testing of the solver, and for the implementation of the non-equidistant binning  ... 
doi:10.1088/1475-7516/2017/02/015 fatcat:ahjki2v6hrf53k3ej4sxxla6qa

Semiparametric regression during 2003–2007

David Ruppert, M.P. Wand, Raymond J. Carroll
2009 Electronic Journal of Statistics  
more streamlined handling of longitudinal and spatial correlation.  ...  We review progress in the field over the five-year period between 2003 and 2007.  ...  Brezger, Fahrmeir & Hennerfeind [25] use the ideas of Bayesian semiparametric regression in the analysis of functional magnetic resonance imaging data.  ... 
doi:10.1214/09-ejs525 pmid:20305800 pmcid:PMC2841361 fatcat:37rhsccmvzeh3kiyuopffbw43q

Decoding the perception of pain from fMRI using multivariate pattern analysis

Kay H. Brodersen, Katja Wiech, Ekaterina I. Lomakina, Chia-shu Lin, Joachim M. Buhmann, Ulrike Bingel, Markus Ploner, Klaas Enno Stephan, Irene Tracey
2012 NeuroImage  
Using multivariate analyses on different spatial scales, we investigated the predictive capacity of fMRI data for decoding whether a stimulus had been perceived as painful.  ...  In addition to its utility in establishing structure-function mappings, our approach affords trial-by-trial predictions and thus represents a step towards the goal of establishing an objective neuronal  ...  The authors wish to thank Thomas Nichols for insightful discussions on permutation tests and Jonathan Brooks for sharing somatotopic analysis results.  ... 
doi:10.1016/j.neuroimage.2012.08.035 pmid:22922369 pmcid:PMC3532598 fatcat:ab4zbd6affdsvdhxtfe5ece3eu

Hemodynamic Deconvolution Demystified: Sparsity-Driven Regularization at Work [article]

Eneko Uruñuela, Thomas A.W. Bolton, Dimitri Van De Ville, César Caballero-Gaudes
2021 arXiv   pre-print
Deconvolution of the hemodynamic response is an important step to access short timescales of brain activity recorded by functional magnetic resonance imaging (fMRI).  ...  This technical note revisits the main concepts underlying two main methods, Paradigm Free Mapping and Total Activation, in the most accessible way.  ...  by functional magnetic resonance imaging (fMRI).  ... 
arXiv:2107.12026v2 fatcat:rovcbs2dazbsnmjoqwrt6eje7m

The Spanish Square Kilometre Array White Book [article]

J. A. Acosta-Pulido, I. Agudo, A. Alberdi, J. Alcolea, E. J. Alfaro, A. Alonso-Herrero, G. Anglada, P. Arnalte-Mur, Y. Ascasibar, B. Ascaso, R. Azulay, R. Bachiller, A. Baez-Rubio (+102 others)
2015 arXiv   pre-print
The book shows the enormous scientific interest of the Spanish astronomical community in the SKA and warrants an optimum scientific exploitation of the SKA by Spanish researchers, if Spain enters the SKA  ...  Its technological challenges and huge cost requires a multinational effort, and Europe has recognised this by putting the SKA on the roadmap of the European Strategy Forum for Research Infrastructures  ...  SP also acknowledges support by the PRIN-INAF09 project "Towards an Italian Network for Computational Cosmology", by the PRIN-MIUR09 "Tracing the growth of structures in the Universe", and by the PD51  ... 
arXiv:1506.03474v2 fatcat:xmufho7kcrg5vecmieufc7tt3i

Selection of a Model of Cerebral Activity for fMRI Group Data Analysis [article]

Merlin Keller and Alexis Roche and Marc Lavielle
2010 arXiv   pre-print
Furthermore, it is based on a generative model that accounts for the spatial uncertainty on the localization of individual effects, due to spatial normalization errors.  ...  Based on a parcellation of the brain volume into functionally homogeneous regions, each model corresponds to a partition of the regions into those involved in the task under study and those inactive.  ...  An application of the method to the problem of activation detection on functional magnetic resonance imaging (fMRI) data is discussed.  ... 
arXiv:1005.3225v1 fatcat:22aml4quivd2tmn4vilicqmd5e

Asia Pacific Conference on Vision 2016 Abstracts

2016 i-Perception  
Non-parametric correlational analyses revealed that greater performance on matching tasks (identity and expression) and emotional conceptual knowledge was associated with superior facial expression recognition  ...  We presented a white target above a horizontally moving red disk Abstracts i-Perception 0(0) Low-quality CCTV images are problematic for forensic face recognition.  ...  Seeing the Mood of a Crowd: Ensemble Expressions for a Group of Different Identities Markus F. Neumann, 1 Sarah Griffiths, 2 Romina Palermo, 1 Linda Jeffery 1 and Gillian Rhodes 1  ... 
doi:10.1177/2041669516685789 fatcat:oswpp6jwjffofjkormvt7dcw3u

A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

Robin A.A. Ince, Bruno L. Giordano, Christoph Kayser, Guillaume A. Rousselet, Joachim Gross, Philippe G. Schyns
2016 Human Brain Mapping  
We present a novel estimation technique that combines the statistical theory of copulas with the closed form solution for the entropy of Gaussian variables.  ...  and direction for vector quantities, and how we can measure the emergence of novel information over time in evoked responses.  ...  The authors report no financial conflict of interest.  ... 
doi:10.1002/hbm.23471 pmid:27860095 pmcid:PMC5324576 fatcat:bcqlamwo7nhbpnzm3g3gqg4cn4

How to avoid mismodelling in GLM-based fMRI data analysis: cross-validated Bayesian model selection

Joram Soch, John-Dylan Haynes, Carsten Allefeld
2016 NeuroImage  
Voxel-wise general linear models (GLMs) are a standard approach for analyzing functional magnetic resonance imaging (fMRI) data.  ...  It also allows for spatially heterogeneous modelling, i.e. using different models for different parts of the brain.  ...  Software Note An implementation of voxel-wise cross-validated Bayesian model selection (cvBMS) compatible with SPM8 and SPM12 can be obtained from the corresponding author.  ... 
doi:10.1016/j.neuroimage.2016.07.047 pmid:27477536 fatcat:7ytsxi3b6bgwhdpnywhe76bp2a

Unsupervised learning for vascular heterogeneity assessment of glioblastoma based on magnetic resonance imaging: The Hemodynamic Tissue Signature [article]

Javier Juan-Albarracín
2020 arXiv   pre-print
Finally, the methods, technologies and original ideas conceived in this thesis led to the foundation of ONCOANALYTICS CDX, a company framed into the business model of companion diagnostics for pharmaceutical  ...  The results of this thesis have been published in ten scientific contributions, including top-ranked journals and conferences in the areas of Medical Informatics, Statistics and Probability, Radiology  ...  Echo MR Magnetic Resonance MRF Markov Random Field MRI Magnetic Resonance Imaging MRSI Magnetic Resonance Spectroscopy Imaging MTT Mean Transit Time NLM Non Local Means NLSVFMM Non Local  ... 
arXiv:2009.06288v1 fatcat:dum2y7fuuve73lxbb2any6iak4

Modelling the dynamic pattern of surface area in basketball and its effects on team performance

Rodolfo Metulini, Marica Manisera, Paola Zuccolotto
2018 Journal of Quantitative Analysis in Sports (JQAS)  
Because of the advent of GPS techniques, a wide range of scientific literature on Sport Science is nowadays devoted to the analysis of players' movement in relation to team performance in the context of  ...  Using a time series of basketball players' coordinates, we focus on the dynamics of the surface area of the five players on the court with a two-fold purpose: (i) to give tools allowing a detailed description  ...  Resonance Imaging study.  ... 
doi:10.1515/jqas-2018-0041 fatcat:b3qwsi7tqjg2vdo7gbjtiorv6m

Detecting Language Activations with Functional Magnetic Resonance Imaging [chapter]

2004 Human Brain Function  
in functional Magnetic Resonance Imaging.  ...  A second way of inferring causality may involve "perturbing the system", for instance using transcranial magnetic resonance imaging (TMS).  ...  Here I refer to c^X^ZX^^c as design variance in contradistinction to a^c^X^ZX^^c which is contrast or estimator variance (note that when o^=l, the design and contrast variances are equivalent).  ... 
doi:10.1016/b978-012264841-0/50032-9 fatcat:qrj3cfoomzd6zan5iu3gjazd34

Functional localization and categorization of intentional decisions in humans: a meta-analysis of brain imaging studies [article]

Ruoguang Si, James B Rowe, Jiaxiang Zhang
2020 bioRxiv   pre-print
Brain-imaging research on intentional decision-making often employs a free-choice paradigm, in which participants choose among options with identical values or outcomes.  ...  We conducted conjunction and contrast meta-analyses to identify consistent and selective brain activations within each specific category of intentional decision.  ...  Forstmann BU, Brass M, Koch I, von Cramon DY (2006) Voluntary Selection of Task Sets Revealed by Functional Magnetic Resonance Imaging. J Cogn Neurosci 18:388-398.  ... 
doi:10.1101/2020.11.27.401208 fatcat:apaksjhwczab7fkynbzv3gx7hq

A dynamical systems framework to uncover the drivers of large-scale cortical activity [article]

Arian Ashourvan, Sergio Pequito, Maxwell Bertolero, Jason Z Kim, Danielle S Bassett, Brian Litt
2019 bioRxiv   pre-print
Finally, through detailed examination of fluctuations in the spatial distribution of the oscillatory modes of the estimated system during the resting state, we find an apparent non-stationarity in the  ...  Next, we examine brain activity at rest and task for 99 subjects from the Human Connectome Project, and find significant task-related changes in the identified system, and task-related increases in the  ...  Investigating directed cortical interactions in time-resolved fmri data using vector autoregressive modeling and granger causality mapping. Magnetic resonance imaging, 21(10):1251-1261, 2003. 48.  ... 
doi:10.1101/638718 fatcat:s5nxuauvybbrdgkxu52a5ownju

The Statistical Analysis of fMRI Data

Martin A. Lindquist
2008 Statistical Science  
In recent years there has been explosive growth in the number of neuroimaging studies performed using functional Magnetic Resonance Imaging (fMRI).  ...  In this paper we discuss the analysis of fMRI data, from the initial acquisition of the raw data to its use in locating brain activity, making inference about brain connectivity and predictions about psychological  ...  Hence, the "massive univariate approach" does take spatial correlation into account at the level of thresholding using Gaussian random fields.  ... 
doi:10.1214/09-sts282 fatcat:ovkpdfrhabbtrpqqioijn7ax5q
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