Authors: Eddy Kwessi, Lloyd Edwards
arXiv
Electroencephalogram (EEG) is a common tool used to understand brain activities. The data are typically obtained by placing electrodes at the surface of the scalp and recording the oscillations of cur...
Authors: Karin C. Knudson, Anoopum S. Gupta
arXiv
We use autoregressive hidden Markov models and a time-frequency approach to create meaningful quantitative descriptions of behavioral characteristics of cerebellar ataxias from wearable inertial senso...
Authors: Firas Lethaus, Robert Kaul
arXiv
In order to reproduce human behaviour in dynamic traffic situations, a computational representation of the requisite mental processes used to carry out the complex driving tasks is required. A single...
Authors: Audrey Bürki, F. -Xavier Alario, Shravan Vasishth
arXiv
In the picture-word interference paradigm, participants name pictures while ignoring a written or spoken distractor word. Naming times to the pictures are slowed down by the presence of the distractor...
Authors: Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
arXiv
Causal terminology is often introduced in the interpretation of encoding and decoding models trained on neuroimaging data. In this article, we investigate which causal statements are warranted and whi...
Authors: Cassiano O. Becker, Sergio Pequito, George J. Pappas, Michael B. Miller, Scott T. Grafton, Danielle S. Bassett, Victor M. Preciado
arXiv
Understanding the relationship between the dynamics of neural processes and the anatomical substrate of the brain is a central question in neuroscience. On the one hand, modern neuroimaging technologi...
Authors: Søren F. V. Nielsen, Kristoffer H. Madsen, Rasmus Røge, Mikkel N. Schmidt, Morten Mørup
arXiv
Dynamic functional connectivity (FC) has in recent years become a topic of interest in the neuroimaging community. Several models and methods exist for both functional magnetic resonance imaging (fMRI...
Authors: Alexandre Richard, Patricio Orio, Etienne Tanré
arXiv
Long-range dependence (LRD) has been observed in a variety of phenomena in nature, and for several years also in the spiking activity of neurons. Often, this is interpreted as originating from a non-M...
Authors: Ashley Petersen, Noah Simon, Daniela Witten
arXiv
In the past few years, new technologies in the field of neuroscience have made it possible to simultaneously image activity in large populations of neurons at cellular resolution in behaving animals....
Authors: Daniel Fraiman, Ricardo Fraiman
arXiv
The study of random networks in a neuroscientific context has developed extensively over the last couple of decades. By contrast, techniques for the statistical analysis of these networks are less dev...
Authors: Yu Jin, Joseph F. JaJa, Rong Chen, Edward H. Herskovits
arXiv
Diffusion Tensor Imaging (DTI) is an effective tool for the analysis of structural brain connectivity in normal development and in a broad range of brain disorders. However efforts to derive inherent...
Authors: Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
arXiv
We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a number of different para...
Authors: Sebastian Weichwald, Moritz Grosse-Wentrup
arXiv
There are two major questions that neuroimaging studies attempt to answer: First, how are sensory stimuli represented in the brain (which we term the stimulus-based setting)? And, second, how does the...
Authors: Sergiusz Wesolowski, Robert J. Contreras, Wei Wu
arXiv
Statistical analysis and inference on spike trains is one of the central topics in the neural coding. It is of great interest to understand the underlying structure of given neural data. Based on the...
Authors: Amanda F. Mejia, Mary Beth Nebel, Anita D. Barber, Ann S. Choe, Martin A. Lindquist
arXiv
In this paper, we use data from the Human Connectome Project (N=461) to investigate the effect of scan length on reliability of resting-state functional connectivity (rsFC) estimates produced from res...