Authors: Tiziana Cattai, Stefania Colonnese, Marie-Constance Corsi, Danielle S. Bassett, Gaetano Scarano, Fabrizio De Vico Fallani
arXiv
The extraction of brain functioning features is a crucial step in the definition of brain-computer interfaces (BCIs). In the last decade, functional connectivity (FC) estimators have been increasingly...
Authors: Mark A. Dubbelman, Merike Verrijp, David Facal, Gonzalo SĂĄnchez-Benavides, Laura J. E. Brown, Wiesje M. van der Flier, Hanna Jokinen, Athene Lee, Iracema Leroi, Cristina Lojo-Seoane, Vuk Milosevic, JosĂ© LuĂs Molinuevo, Arturo X. Pereiro Rozas, Craig Ritchie, Stephen Salloway, Gemma Stringer, Stelios Zygouris, Bruno Dubois, StĂ©phane Epelbaum, Philip Scheltens, Sietske A. M. Sikkes
arXiv
INTRODUCTION: To understand the potential influence of diversity on the measurement of functional impairment in dementia, we aimed to investigate possible bias caused by age, gender, education, and cu...
Authors: James Tee, Desmond P. Taylor
arXiv
Value [4][5] is typically modeled using a continuous representation (i.e., a Real number). A discrete representation of value has recently been postulated [6]. A quantized representation of probabilit...
Authors: Lu Wang, Zhengwu Zhang
arXiv
Modern neuroimaging technologies, combined with state-of-the-art data processing pipelines, have made it possible to collect longitudinal observations of an individual's brain connectome at different...
Authors: Félix Renard, Christian Heinrich, Marine Bouthillon, Maleka Schenck, Francis Schneider, Stéphane Kremer, Sophie Achard
arXiv
Human brain connectome studies aim at extracting and analyzing relevant features associated to pathologies of interest. Usually this consists in modeling the brain connectome as a graph and in using g...
Authors: Shervin Safavi, Nikos K. Logothetis, Michel Besserve
arXiv
Time series datasets often contain heterogeneous signals, composed of both continuously changing quantities and discretely occurring events. The coupling between these measurements may provide insight...
Authors: Christian Bongiorno, Yulun Zhou, Marta Kryven, David Theurel, Alessandro Rizzo, Paolo Santi, Joshua Tenenbaum, Carlo Ratti
arXiv
How do pedestrians choose their paths within city street networks? Researchers have tried to shed light on this matter through strictly controlled experiments, but an ultimate answer based on real-wor...
Authors: Elisa C. Baek, Ryan Hyon, Karina LĂłpez, Emily S. Finn, Mason A. Porter, Carolyn Parkinson
arXiv
People differ in how they attend to, interpret, and respond to their surroundings. Convergent processing of the world may be one factor that contributes to social connections between individuals. We u...
Authors: Rahul Biswas, Eli Shlizerman
arXiv
Representation of brain network interactions is fundamental to the translation of neural structure to brain function. As such, methodologies for mapping neural interactions into structural models, i.e...
Authors: Danielle S. Bassett, Nicholas F. Wymbs, M. Puck Rombach, Mason A. Porter, Peter J. Mucha, Scott T. Grafton
arXiv
As a person learns a new skill, distinct synapses, brain regions, and circuits are engaged and change over time. In this paper, we develop methods to examine patterns of correlated activity across a l...
Authors: William Marshall, Paul Marriott
arXiv
We consider the problem of change-point estimation of the instantaneous phase of an observed time series. Such change points, or phase shifts, can be markers of information transfer in complex systems...
Authors: Volker H. Franz, Ulrike von Luxburg
arXiv
Neuroscientists frequently use a certain statistical reasoning to establish the existence of distinct neuronal processes in the brain. We show that this reasoning is flawed and that the large correspo...
Authors: Cedric E. Ginestet, Jun Li, Prakash Balachandran, Steven Rosenberg, Eric D. Kolaczyk
arXiv
In recent years, it has become common practice in neuroscience to use networks to summarize relational information in a set of measurements, typically assumed to be reflective of either functional or...
Authors: Wasifa Jamal, Saptarshi Das, Ioana-Anastasia Oprescu, Koushik Maharatna
arXiv
This paper proposes a stochastic model using the concept of Markov chains for the inter-state transitions of the millisecond order quasi-stable phase synchronized patterns or synchrostates, found in m...
Authors: Sean L. Simpson, Paul J. Laurienti
arXiv
Whole-brain network analyses remain the vanguard in neuroimaging research, coming to prominence within the last decade. Network science approaches have facilitated these analyses and allowed examining...