15 papers · ranked by Valyu relevance
John P. Veillette, Letitia Ho, Howard C. Nusbaum
Cognitive neuroscientists have been grappling with two related experimental design problems. First, the complexity of neuroimaging data (e.g. often hundreds of thousands of correlated measurements) and analysis pipelines demands bespoke, non-parametric statistical tests for valid inference, and these tests often lack…
Lennart Wittkuhn, Nicolas W. Schuck
Neural computations are often anatomically localized and executed on sub-second time scales. Understanding the brain therefore requires methods that offer sufficient spatial and temporal resolution. This poses a particular challenge for the study of the human brain because non-invasive methods have either high temporal…
Nicolas W. Schuck, Yael Niv
Neurophysiological research has found that previously experienced sequences of spatial events are reactivated in the hippocampus of rodents during wakeful rest. This phenomenon has become a cornerstone of modern theories of memory and decision making. Yet, whether hippocampal sequence reactivation at rest is of general…
Kuan-Hao Chao, Kirston Barton, Sarah Palmer, Robert Lanfear
sangeranalyseR is an interactive R/Bioconductor package and two associated Shiny applications designed for analysing Sanger sequencing from data from the ABIF file format in R. It allows users to go from loading reads to saving aligned contigs in a few lines of R code. sangeranalyseR provides a wide range of options…
V.M. Efimov, K.V. Efimov, V.Y. Kovaleva
In the 40s of the last century, Karhunen and Loève proposed a method for processing of one-dimensional numeric time series by converting it into a multidimensional by shifts. In fact, a one-dimensional number series was decomposed into several orthogonal time series. This method has many times been independently…
Elliot Howard-Spink, Misato Hayashi, Tetsuro Matsuzawa, Daniel Schofield + 2 more
The hierarchical organization of sequential behaviour, and the ability to compensate for nonadjacent sequential dependencies, are fundamental and interrelated abilities supporting complex human behaviours, including language and tool use. To understand how the cognition underlying these structural properties of human…
Md Vasimuddin, Sanchit Misra, Srinivas Aluru
Rapid advances in next-generation sequencing technologies are improving the throughput and cost of sequencing at a rate significantly faster than the Moore’s law. This necessitates equivalent rate of acceleration of NGS secondary analysis that assembles reads into full genomes and identifies variants between genomes.…
Ariya Shajii, Ibrahim Numanagić, Alexander T. Leighton, Haley Greenyer + 2 more
Exponentially-growing next-generation sequencing data requires high-performance tools and algorithms. Nevertheless, the implementation of high-performance computational genomics software is inaccessible to many scientists because it requires extensive knowledge of low-level software optimization techniques, forcing…
Juliana E. Trach, Theresa H. McKim, Theresa M. Desrochers
Everyday task sequences, such as cooking, contain overarching goals (completing the meal), sub-goals (prepare vegetables), and motor actions (chopping). Such tasks generally are considered hierarchical because superordinate levels (e.g., goals) affect performance at subordinate levels (e.g., sub-goals and motor…
Simor Peter, Zavecz Zsofia, Horváth Kata, Éltető Noémi + 4 more
Procedural learning is a fundamental cognitive function that facilitates efficient processing of and automatic responses to complex environmental stimuli. Here, we examined training-dependent and off-line changes of two sub-processes of procedural learning: namely, sequence learning and statistical learning. Whereas…
Jingquan Yan, Ruichen Rong, Guanghua Xiao, Xiaowei Zhan
Accelerometers provide continuous measurements of human movements. Utilizing their data exhibits great potential for monitoring or predicting human health outcomes. In this direction, researchers are active in developing machine-learning algorithms. However, compared to understanding deep learning models, visualizing…
B.P. Johnson, I. Iturrate, R.Y. Fakhreddine, M. Bönstrup + 3 more
When humans begin learning new motor skills, they typically display early rapid performance improvements. It is not well understood how knowledge acquired during this early skill learning period generalizes to new, related skills. Here, we addressed this question by investigating factors influencing generalization of…
Daniel S. Caetano, Jeremy M. Beaulieu
Phenotypic sequences are a type of multivariate trait organized structurally, such as teeth distributed along the dental arch, or temporally, such as the stages of an ontogenetic series. However, unlike other multivariate traits, the elements of a phenotypic sequence are arranged along a vector, which allows for…
Guy Teichman, Dror Cohen, Or Ganon, Netta Dunsky + 3 more
Amongst the major challenges in next-generation sequencing experiments are exploratory data analysis, interpreting trends, identifying potential targets/candidates, and visualizing the results clearly and intuitively. These hurdles are further heightened for researchers who are not experienced in writing computer code…
Alexander Payne, Nadine Holmes, Vardhman Rakyan, Matthew Loose
The Oxford Nanopore Technologies (ONT) MinION is used for sequencing a wide variety of sample types with diverse methods of sample extraction. Nanopore sequencers output fast5 files containing signal data subsequently base called to fastq format. Optionally, ONT devices can collect data from all sequencing channels…