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Harnessing functional segregation across brain rhythms as a means to detect EEG oscillatory multiplexing during music listening
2018
Journal of Neural Engineering
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Our methodology includes an efficient graph-partitioning algorithm, which is further utilized for mining prototypical modular patterns, and a novel algorithmic procedure for identifying switching nodes ...
Our results suggest the multiplex character of the music-induced functional reorganization and particularly indicate the dependence between the networks reconstructed from the δ and βH rhythms. ...
the form of a [29×29] adjacency matrix representing a connectivity graph built over the 29 sensors. ...
doi:10.1088/1741-2552/aaac36
pmid:29386407
fatcat:j2fajmnd2be53guzozz6n53cyq
Identifying supersingular elliptic curves
2012
LMS Journal of Computation and Mathematics
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We analyze the complexity of several existing algorithms and then present a new approach that exploits structural differences between ordinary and supersingular isogeny graphs. ...
Both these complexity bounds are significant improvements over existing methods, as we demonstrate with some practical computations. ...
I am grateful to David Kohel for his feedback on an early draft of this paper, and for showing how to tighten the bound in Proposition 1. ...
doi:10.1112/s1461157012001106
fatcat:ik5o44ttkzcirgry5evsw6m7ea
Life-span development of functional brain networks as assessed with minimum spanning tree analysis of resting state EEG
[article]
2015
bioRxiv
pre-print
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Graph analysis of EEG has previously revealed increased connectivity between distant brain areas and a decrease in randomness and increased integration in the brain network with concurrent increased modularity ...
The brain matures with large quantitative changes in anatomy and function. ...
Acknowledgements This work was supported by grants Twin-family database for behavior genetics and genomics studies ...
doi:10.1101/022038
fatcat:hu76bqytwzanbbjwcqrysradre
Adaptive frequency decomposition of EEG with subsequent expert system analysis
2001
Computers in Biology and Medicine
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The system detects artefacts, describes alpha rhythm by frequency, amplitude, and stability and after artefact rejection detects pathologic slow activity. ...
We present a hybrid system for automatic analysis of clinical routine EEG, comprising a spectral analysis and an expert system. ...
The research work for this project is funded by the German Bundesministerium f ur Bildung und Forschung (federal ministry of education and research) grant number 0311462. ...
doi:10.1016/s0010-4825(01)00017-8
pmid:11604148
fatcat:jbkapve5inc7jhm7drlmxv7vs4
Phase synchrony analysis of EEG during music perception reveals changes in functional connectivity due to musical expertise
2005
Signal Processing
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Comparing the music listening task to rest or control condition, musicians showed increase in phase synchrony over distributed cortical areas, both near and distant, in delta, and most conspicuously in ...
Differences in functional and topographical connectivity patterns between two groups, musicians and non-musicians, during attentively listening to three different pieces of music and to a text of neutral ...
(i) For any arbitrary scalar signal x(t), the analytic signal, a complex function, is formed as x an ðtÞ ¼ xðtÞ þ ix HT ðtÞ xðtÞ þ 1 p Z þ1 À1 xðt 0 Þ t À t 0 dt 0 , where x HT (t) is the Hilbert Transform ...
doi:10.1016/j.sigpro.2005.07.007
fatcat:qmybiswjbzaklowkjske5fkdne
Spatiotemporal properties of Sub-Rayleigh and supershear rupture velocity fields: Theory and experiments
2016
Journal of the mechanics and physics of solids
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Kinematic 65 form analytical solutions for the singular elastic stress and particle velocity fields radiated by a 2D steady-state shear crack. ...
Sub-Rayleigh and intersonic crack field solutions were derived for the shear stress (σ 12 ) and fault-parallel velocity component (u 1 ). ...
EAR-0911723), provided under the American Recovery and Reinvestment Act of 2009 (ARRA) (Public Law 111-5). ...
doi:10.1016/j.jmps.2016.02.031
fatcat:r4vnl2izkff3pmj2so7yj5k2c4
Life-Span Development of Brain Network Integration Assessed with Phase Lag Index Connectivity and Minimum Spanning Tree Graphs
2016
Brain Connectivity
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brain network with concurrent increased modularity. ...
Graph analysis of electroencephalography (EEG) has previously revealed developmental increases in connectivity between distant brain areas and a decrease in randomness and increased integration in the ...
Next, the instantaneous phase for a signal X i is established using the Hilbert transform H(X i )(t) = atan(s(t)) þ H(s(t))i) where s(t) is the signal over time t, and H is the Hilbert transform, i is ...
doi:10.1089/brain.2015.0359
pmid:26885699
fatcat:v7mbyahi6zebnbm4dhhrs7pki4
Detecting projectivity in sheaves associated to representations of infinitesimal groups
2015
Journal of Pure and Applied Algebra
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2013 pre-print arXiv:1309.1504v1 fatcat:n5d6fb7lwvc5jmlwcpbtek6sbuOther Versions
We consider sheaves over the projectivization P(G) of V(G) constructed from a G-module M. We show that if P(G) is regular then the sheaf H^[1](M) is zero if and only if M is projective. ...
Along the way we will provide new proofs of some known results and correct some errors in the literature. ...
[FPS] , and Friedlander and Pevtsova [FP2] . The Young diagram of a partition will be a useful visualization tool. ...
doi:10.1016/j.jpaa.2014.07.013
fatcat:7n653s7iwzhsjd3duxk3zlntbq
Neuroadaptive technology: concepts, tools, and validations
[article]
2020
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These experiments thus highlight both the potential benefits and the potential ethical, legal, and societal concerns of neuroadaptive technology. ...
This dissertation presents conceptual, methodological, and experimental advances in the field of neuroadaptive technology. ...
The authors thank Mahta Mousavi for the band-pass filter design, Stefan Haufe for the autoregressive signal generation code and accompanying support, and Ramón Martínez-Cancino for his assistance with ...
doi:10.14279/depositonce-10656
fatcat:5p3h7jwypjbavpprynl7iauuti
DOTTORATO DI RICERCA IN BIOINGEGNERIA Ciclo XXVII COGNITIVE ASSESSMENT AND REHABILITATION OF SUBJECTS WITH TRAUMATIC BRAIN INJURY
unpublished
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form of motor imagery) and the answer word to a question (yes or no). ...
Thanks to the modularity of the application, it will be simple and fast to complete the platform with new rehabilitation exercises. ...
PAS condition with respect the B, SS and PSS (p<0.01/36). ...
fatcat:te7uhe36tfffzebrxfxc2yed6u
More Than One - Observing Human Brains in Uncommon Interaction Scenarios
2020
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As this research advances, though, the results will undoubtedly shed light on important aspects of human interaction and human-machine interaction and can be expected to have major impact on the design ...
The main method for this evaluation is hyper-scanning and -analysis aiming for neural c [...] ...
The software suit features a modular design and is easily extensible. ...
doi:10.4119/unibi/2946075
fatcat:otg5tkigozem7nconloycqydli
Modeling Heart and Brain signals in the context of Wellbeing and Autism Applications: A Deep Learning Approach
[article]
2020
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from six
critical channels Fpl, Fp2, C3,
C4, F3, and F4
3 layers Semi-supervised
Deep RBM, and SVM,
KNN, and ANN base-
lines. ...
were saved separately but identified with the corresponding code per participant. ...
6.6, and 6.7. ...
doi:10.15168/11572_247209
fatcat:raidwnxldbfjzn2qkq3peg3aq4