Authors: Deirel Paz-Linares, Mayrim Vega-Hernández, Pedro A. Rojas-López, Pedro A. Valdés-Sosa, Eduardo Martínez-Montes
arXiv
The estimation of EEG generating sources constitutes an Inverse Problem (IP) in Neuroscience. This is an ill-posed problem, due to the non-uniqueness of the solution, and many kinds of prior informati...
Authors: Aina Frau-Pascual, Thomas Vincent, Jennifer Sloboda, Philippe CIUCIU, Florence Forbes
arXiv
Arterial Spin Labelling (ASL) functional Magnetic Resonance Imaging (fMRI) data provides a quantitative measure of blood perfusion, that can be correlated to neuronal activation. In contrast to BOLD m...
Authors: Wasifa Jamal, Saptarshi Das, Koushik Maharatna
arXiv
In this paper, we have developed a new measure of understanding the temporal evolution of phase synchronization for EEG signals using cross-electrode information. From this measure it is found that th...
Authors: Daniel Soudry, Suraj Keshri, Patrick Stinson, Min-hwan Oh, Garud Iyengar, Liam Paninski
arXiv
Inferring connectivity in neuronal networks remains a key challenge in statistical neuroscience. The `common input' problem presents the major roadblock: it is difficult to reliably distinguish causal...
Authors: Arturo Mariani, Federico Senocrate, Jason Mikiel-Hunter, David McAlpine, Barbara Beiderbeck, Michael Pecka, Kevin Lin, Thomas Kreuz
arXiv
Background: In Kreuz et al., J Neurosci Methods 381, 109703 (2022) two methods were proposed that perform latency correction, i.e., optimize the spike time alignment of sparse neuronal spike trains wi...
Authors: Sirui Zeng, Uri T. Eden
arXiv
Hippocampal ripple-replay events are typically identified using a two-step process that at each time point uses past and future data to determine whether an event is occurring. This prevents researche...
Authors: ZhuQing Gong, XiNian Zuo
arXiv
Neural oscillations facilitate the functioning of the human brain in spatial and temporal dimensions at various frequencies. These oscillations feature a universal frequency architecture that is gover...
Authors: Johan Medrano, Karl J. Friston, Peter Zeidman
arXiv
This paper introduces a novel approach for modelling time-varying connectivity in neuroimaging data, focusing on the slow fluctuations in synaptic efficacy that mediate neuronal dynamics. Building on...
Authors: Lu Wei, Yi Huang, Guosheng Yin, Fode Zhang, Manxue Zhang, Bin Liu
arXiv
We propose a model for diagnosing Autism spectrum disorder (ASD) using multimodal magnetic resonance imaging (MRI) data. Our approach integrates brain connectivity data from diffusion tensor imaging (...
Authors: K. Segaert, S. J. E. Lucas, C. V. Burley, Pieter Segaert, A. E. Milner, M. Ryan, L. Wheeldon
arXiv
Healthy ageing is associated with decline in cognitive abilities such as language. Aerobic fitness has been shown to ameliorate decline in some cognitive domains, but the potential benefits for langua...
Authors: Li Chen, Joshua T. Vogelstein, Vince Lyzinski, Carey E. Priebe
arXiv
We investigate joint graph inference for the chemical and electrical connectomes of the \textit{Caenorhabditis elegans} roundworm. The \textit{C.elegans} connectomes consist of $253$ non-isolated neur...
Authors: Irène Gannaz
arXiv
We want to analyse EEG recordings in order to investigate the phonemic categorization at a very early stage of auditory processing. This problem can be modelled by a supervised classification of funct...
Authors: Nicholas P. Bertrand, Eva Yezerets, Han Lun Yap, Adam S. Charles, Christopher J. Rozell
arXiv
Many areas in science and engineering now have access to technologies that enable the rapid collection of overwhelming data volumes. While these datasets are vital for understanding phenomena from phy...
Authors: George-Rafael Domenikos, Victoria Leong
arXiv
Complex systems produce high-dimensional signals that lack macroscopic variables analogous to entropy, temperature, or free energy. This work introduces a thermoinformational formulation that derives...
Authors: Alphin J Thottupattu, Jayanthi Sivaswamy, Bharath Holla, Jithender Saini
arXiv
Understanding distinct neurological aging patterns across various populations is vital in the context of a globally aging populace. This study seeks to unravel the structural variations in the aging b...