21 papers · ranked by Valyu relevance
Bernard C. Wang, Raymond Gifford, Nathan C. L. Kong, Feng Ruan + 2 more
MatClassRSA is a MATLAB toolbox that performs magnetoen-cephalography and electroencephalography (M/EEG) classification and other analyses related to Representational Similarity Analysis (RSA). The toolbox is designed for cognitive neuroscience researchers who wish to perform classification-based decoding analyses of…
Yonatan Sanz Perl, Jakub Vohryzek, Anira Escrichs, Morten L. Kringelbach + 1 more
Brain disorders remain one of the greatest challenges in neuroscience. Computational precision medicine offers a promising framework to reveal the mechanistic principles governing both healthy and pathological brain dynamics. In this context, we present The Turbulent Brain (TTB) toolbox, an open-source MATLAB platform…
Yi-Shuai Niu, Shing-Tung Yau
Polylab is a MATLAB toolbox for multivariate polynomial scalars and polynomial matrices with a unified symbolic-numeric interface across CPU and GPU-oriented backends. The software exposes three aligned classes: MPOLY for CPU execution, MPOLY_GPU as a legacy GPU baseline, and MPOLY_HP as an improved GPU-oriented…
Jan A. Adelmann, Roman Vetter, Dagmar Iber
Title: Summary Studying morphogen gradient-based tissue patterning in silico while accounting for biological variability remains challenging. Here, we present a MATLAB-based protocol for simulating steady-state morphogen gradients in one- and two-dimensional tissues with cell-to-cell variability in model parameters. We…
Balázs Kovács, Michael Lantelme
The $\ell$FEM MATLAB package provides a simple, efficient, and flexible implementation of isoparametric finite elements in bulk domains and on surfaces. The finite element matrix assemblies are based on MATLAB's paged operators and therefore completely loop-free. We give a short and conscious description of high-order…
Yang Liu, Wei Tan
Differential equation-driven evolution strategies are often associated with boundary-driven topology optimization methods, such as the level set method. However, differential equations can also be utilized effectively in density-based approaches. This paper presents a design update scheme formulated using differential…
Jacob C. Slack, Gus Rutledge, Amol P. Yadav
Online processing and visualization of large-scale neural data is critical for neuroscientific discovery and advancements in neural engineering. However, with the development of technologies like Neuropixels (NP) probes, which enable simultaneous streaming from hundreds of recording electrodes, handling such data in…
Carmen Li, Sydney Schock, Abigail Costa, Amir Mitchell + 1 more
The AssiST package implements a three-stage MATLAB pipeline for automating AST image analysis: preparation, training, and inference. [vbag063-F1] shows a breakdown of the pipeline. In the preparation step, users curate a training set from raw plate images by extracting individual microwell images and organizing them…
Alex N Popinga, Jack Forman, Dmitri Svetlov, Huy Vo + 1 more
Biological data is prone to both intrinsic and extrinsic noise and variability between experimental replicas. That same stochasticity and heterogeneity can carry information about underlying biochemical mechanisms but, if not incorporated in modeling and probabilistic inference, can also bias parameter estimates and…
Bastijn J.G. van den Boom, Deeptirmayee Dash, Melanie Rutherford, Allison E. Girasole + 3 more
Recording and manipulating brain activity during behavior is critical to understanding the underlying mechanisms of decision-making. Linking neural activity to behavior requires behavioral hardware and software tightly integrated with recording and perturbation systems on a shared clock. We built SPOUT (State-machine…
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…
Umair Zulfiqar
This paper considers large-scale nonsymmetric continuous-time algebraic Riccati equations (NAREs) that admit low-rank solutions. Low-rank alternating direction implicit (ADI) methods have proven to be an efficient approach for solving several matrix equations, including Lyapunov equations, Sylvester equations, and…
Rachel M. Lee, Leanna R. Eisenman, Chad M. Hobson, Jesse S. Aaron + 1 more
Motion is an essential component of any living system. It is rich with information, but it is often challenging to quantitatively extract biologically informative results from the motion apparent in microscopy images. This challenge is exacerbated by the wide variety in biological movement, which often takes the form…
Dileepan Joseph
The unitary-triangular (QR) factorization of linear algebra may be used to robustly and efficiently solve a linear system. Toward a comparable numerical method to solve a polynomial system of higher degree, this paper proposes an any-degree unitary-triangular (Qr) factorization, which for a degree-one system reduces to…
Yapeng Xu, Kaishun Hao, Caidong Wang, Li Xiao + 3 more
Inspired by the energy-efficient resonance strategy of the human elbow joint during periodic arm swing, this paper investigates the energy-saving motion and performance of a robotic variable stiffness joint. A modular stiffness adjustment mechanism with continuously adjustable stiffness based on Archimedean spiral…
Xingcai Qin, Qi Cao, Zhiyuan Yuan, Yifan Hao + 3 more
Programmable gas flowmeters with remote reading and control are increasingly needed in the era of automation and AI. However, commercially available options remain expensive, hindering their adoption. We therefore developed a cost-effective programmable flowmeter as a compact device based on a low-cost glass rotameter.…
Dario A. Bini, Bruno Iannazzo, Beatrice Meini, Jie Meng
Component-wise accurate algorithms for computing the principal square root of an M-matrix are designed in terms of triplet representations. A triplet representation of an M-matrix $A$ is the triple $(P, {\bf u},{\bf v})$, where the matrix $P$ is such that $p_{ij}=-a_{ij}$ for $i\ne j$, $p_{ii}=0$, and ${\bf u}>0$…
Ottavia M. Epifania, Andrea Brancaccio, Pasquale Anselmi, Debora de Chiusole
Few resources are available for the automatic generation of Raven-like matrices. Some of them are no longer working, while others are hardly customizable without advanced programming skills. Although an R package exists for generating stimuli for psychological assessments, it currently only supports creating rotations…
Asmaa G. Ameen, Shuaiby Mohamed, Gamal T. Abdel-Jaber, I. Hamdan
The increasing reliance on the renewable energy, particularly wind power, introduces significant challenges for modern power systems and can compromise system stability. This study proposes an improved pitch-angle control strategy for a 1.5 MW large-scale Wind Energy Conversion System (WECS) based on a Doubly-Fed…
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This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
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Redox-mediated flow batteries (RMFBs), an emerging subclass of redox flow batteries (RFBs), incorporate solid active materials into the tanks to dramatically increase theoretical energy density, albeit currently at the expense of design and operational simplicity. Using physics-based models, we assess the performance…