21 papers · ranked by Valyu relevance
James J Cai, David K Smith, Xuhua Xia, Kwok-yung Yuen
Background MATLAB is a high-performance language for technical computing, integrating computation, visualization, and programming in an easy-to-use environment. It has been widely used in many areas, such as mathematics and computation, algorithm development, data acquisition, modeling, simulation, and scientific and…
Stewart Heitmann, Matthew Aburn, Michael Breakspear
The Brain Dynamics Toolbox provides a graphical tool for simulating user-defined dynamical systems in matlab. It supports three classes of differential equations commonly used in computational neuroscience: Ordinary Differential Equations, Delay Differential Equations and Stochastic Differential Equations. The design…
Ikaro Silva, George B. Moody
The WaveForm DataBase (WFDB) Toolbox for MATLAB/Octave enables integrated access to PhysioNet’s software and databases. Using the WFDB Toolbox for MATLAB/Octave, users have access to over 50 physiological databases in PhysioNet. The toolbox provides access over 4 TB of biomedical signals including ECG, EEG, EMG, and…
Theodore J. Perkins
The Matlab programming language is widely used for both teaching and research in engineering, computer science, and mathematics. Despite its many strengths, it has never been a dominant language in computational genomics or bioinformatics more generally. Here, we introduce COGEM, a long-term project to develop…
Matthew W. Flood, Bernd Grimm, Mashallah Rezakazemi
An increasing number of studies across many research fields from biomedical engineering to finance are employing measures of entropy to quantify the regularity, variability or randomness of time series and image data. Entropy, as it relates to information theory and dynamical systems theory, can be estimated in many…
Valentina A. Unakafova, Alexander Gail
Analysis of spike and local field potential (LFP) data is an essential part of neuroscientific research. Today there exist many open-source toolboxes for spike and LFP data analysis implementing various functionality. Here we aim to provide a practical guidance for neuroscientists in the choice of an open-source…
Krzysztof Rykaczewski, Jan Nikadon, Włodzisław Duch, Tomasz Piotrowski
Recognition and interpretation of brain activity patterns from EEG or MEG signals is one of the most important tasks in cognitive neuroscience, requiring sophisticated methods of signal processing. The supFunSim library is a new Matlab toolbox which generates accurate EEG forward models and implements a collection of…
Alberto Gómez
This paper presents a Matlab toolbox to perform basic image processing and visualization tasks, particularly designed for medical image processing. The functionalities available are similar to basic functions found in other non-Matlab widely used libraries such as the Insight Toolkit (ITK). The toolbox is entirely…
Lucian A. B. Purvis, William T. Clarke, Luca Biasiolli, Ladislav Valkovič + 3 more
'Ladislav Valkovič' 'Matthew D. Robson' 'Christopher T. Rodgers' 'Andrea Motta'] In vivo magnetic resonance spectroscopy provides insight into metabolism in the human body. New acquisition protocols are often proposed to improve the quality or efficiency of data collection. Processing pipelines must also be developed…
David López-García, Jose M.G. Peñalver, Juan M. Górriz, María Ruz
MVPAlab is a MATLAB-based and very flexible decoding toolbox for multidimensional electroencephalography and magnetoen-cephalography data. The MVPAlab Toolbox implements several machine learning algorithms to compute multivariate pattern analyses, cross-classification, temporal generalization matrices and feature and…
Keigo Kimura, Lu Sun, Mineichi Kudo
Multi-Label Classification toolbox is a MATLAB/OCTAVE library for Multi-Label Classification (MLC). There exists a few Java libraries for MLC, but no MATLAB/OCTAVE library that covers various methods. This toolbox offers an environment for evaluation, comparison and visualization of the MLC results. One attraction of…
Bruno Iannazzo, Mehdi Najafi Kalyani, Federico Poloni
We introduce the mmatrix toolbox, a Matlab software package for componentwise accurate computations with M-matrices described through left or right triplet representations. The core of the toolbox is a Fortran implementation, in the Lapack style, of the unblocked, recursive, and blocked versions of the GTH algorithm…
Tomasz Markiewicz
Background The Matlab software is a one of the most advanced development tool for application in engineering practice. From our point of view the most important is the image processing toolbox, offering many built-in functions, including mathematical morphology, and implementation of a many artificial neural networks…
Laurent Heirendt, Sylvain Arreckx, Thomas Pfau, Sebastián N. Mendoza + 51 more
'Anne Richelle' 'Almut Heinken' 'Hulda S. Haraldsdóttir' 'Jacek Wachowiak' 'Sarah Keating' 'Vanja Vlasov' 'Stefanía Magnúsdóttir' 'Chiam Yu Ng' 'German Preciat' 'Alise Žagare' 'Siu Hung Joshua Chan' 'Maike K. Aurich' 'Catherine M. Clancy' 'Jennifer Modamio' 'John T. Sauls' 'Alberto Noronha' 'Aarash Bordbar' 'Benjamin…
Sara Larivière, Casey Paquola, Bo-yong Park, Jessica Royer + 10 more
Among ‘big data’ initiatives, the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium—a worldwide alliance of over 2,000 scientists diversified into over 50 Working Groups—has yielded some of the largest studies of the healthy and diseased brain. Integration of multisite datasets to assess…
Valentina A. Unakafova, Alexander Gail
Analysis of spike and local field potential (LFP) data is an essential part of neuroscientific research. Today there exist many open-source toolboxes for spike and LFP data analysis implementing various functionality. Here we aim to provide a practical guidance for neuroscientists in the choice of an open-source…
Walter R. C. Somerville, Baptiste Auguié, Eric C. Le Ru
We provide a detailed user guide for smarties, a suite of Matlab codes for the calculation of the optical properties of oblate and prolate spheroidal particles, with comparable capabilities and ease-of-use as Mie theory for spheres. smarties is a Matlab implementation of an improved T-matrix algorithm for the…
Yi-Hong Lin, Chih-Ning Tsai, Po-Feng Chen, Yen-Tzu Lin + 5 more
Scanning electrochemical microscopy (SECM) is one of the scanning probe techniques that has attracted considerable attention because of its ability to interrogate surface morphology or electrochemical reactivity. However, the quality of SECM images generally depends on the sizes of the electrodes and many…
Bryan Wong, Cameron Chevalier
We present an open-source software package, HADOKEN (High-level Algorithms to Design, Optimize, and Keep Electrons in Nanowires), for predicting electron confinement/localization effects in nanowires with various geometries, arbitrary number of concentric shell layers, doping densities, and external boundary…
MARCO TODISCO
Determining the distribution of multiple chemical species at equilibrium for a given system is a common problem that must be routinely addressed by scholars. While simple systems consisting of a few species and reactions can be solved manually, most of these problems require the definition and solution of higher-order…
Authors not listed
Raman spectroscopy is an increasingly powerful and fast-growing analytical technique across diverse disciplines, from materials science and chemistry to biology and medicine, thanks to advances in Raman instrumentation and greatly supported by the flourishing of chemometrics and artificial intelligence (AI). However…