19 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…
Fabricio Cravo, Alex Fischbach, Hallee Shearer, Matt Rosenblatt + 2 more
Low statistical power in neuroimaging often undermines research in the field, leading to missed effects, wasted resources, and reduced reproducibility. Performing power analyses during the study design phase is extremely important, but often prohibitively difficult due to a lack of analytical solutions and high…
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…
Alejandro Osses, Azal Le Bagousse, Léo Varnet
The fastACI toolbox provides a compilation of tools for collecting and analyzing data from auditory reverse-correlation experiments. These experiments involve behavioral listening tasks including one or more target sounds presented with some random fluctuation, typically in the form of additive background noise. In…
Nicola Cigarini, Giulia Michieletto, Angelo Cenedese
Nicola Cigarini1, 2 , Giulia Michieletto1, 3 , Angelo Cenedese1, 4 1 Department of Information Engineering University of Padova, Vicenza, Italy 2 Department of Land, Environment, Agriculture and Forestry, University of Padova, Legnaro, Italy 3 Department of Management and Engineering, University of Padova, Padova…
Maxime Grosso, Pierre Riedinger, Jamal Daafouz
— We present a MATLAB package called the PhasorArray Toolbox that has been developed to make harmonic analysis and control methods both practical and user-friendly. The toolbox adopts an object-oriented architecture that enables intuitive manipulation of periodic matrices through overloaded operators for addition…
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…
Tido Bergmans, Tansu Celikel
Understanding the structural organization of the brain is essential for deciphering how complex functions emerge from neural circuits. The Allen Mouse Brain Connectivity Atlas (AMBCA) has revolutionized our ability to quantify anatomical connectivity at a mesoscale resolution, bridging the gap between microscopic…
LUIS D. RAMIREZ, FEIYI WANG, EMILY WIECEK, LOUIS N. VINKE + 1 more
A goal of vision science is to develop computational models that characterize the fundamental response properties of neurons in visual cortex. One such property is spatial frequency (SF) tuning: neural populations in visual cortex selectively respond to specific bands of SF, which determines the level of detail, coarse…
José Domingo Jiménez-López, Jesús Navarro-Moreno, Juan Carlos Ruiz-Molina
The \textit{$αβ$-Tessarine Toolbox} is introduced as a high-performance MATLAB framework for generalized hypercomplex tensor algebra. By implementing the $αβ$-tessarine mathematical structure, a strictly more general environment than existing quaternion or limited tessarine packages is provided. This open-source…
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…
Abdalrhaman Koko, Alya Abdelnour, Thorsten H. Becker, T. James Marrow
Understanding the mechanical behaviour of defective materials is key to predicting failure and enhancing performance. Traditional fracture mechanics often requires assumptions about geometry and loading that are unavailable in experimental systems. We present a MATLAB-based computational toolbox that extracts…
Ashkan Javaherian
We present a MATLAB package for reconstructing sound-speed images from transmission ultrasound data. The package is based on two-point ray tracing and implements two complementary inversion strategies for image reconstruction. The first is a time-of-flight (ToF) method that produces low-resolution, low-contrast images…
Jens Lucht, Paul Meyer, Leon Merten Lohse, Tim Salditt + 1 more
We present HoToPy, a toolbox for X-ray holo-tomography in Python. It offers state-of-the-art phase retrieval methods for synchrotron and laboratory sources as well as tomographic reconstruction and alignment methods.
Amirhossein Khalilian-Gourtani, Yasamin Esmaeili, Andrew J. Michalak, Adeen Flinker
Intracranial electrophysiological recordings, including electrocorticography (ECoG) and stereo-EEG (sEEG), are increasingly used across research programs to study human brain function due to their high spatiotemporal resolution. Numerous tools exist for electrode localization and visualization; however, most focus on…
Ido Haber, Aksel Jackson, Axel Thielscher, Aviad Hai + 1 more
Temporal interference stimulation is a novel non-invasive brain stimulation approach that promises selective targeting of deep brain structures while minimizing off-target cortical stimulation. Despite a growing interest in temporal interference applications, there is a need for integrated computational tools that…
Mark Bright, Xuelong Mi, Daniela Duarte, Erin Carey + 4 more
Advanced biological imaging analysis platforms such as Activity Quantification and Analysis (AQuA2) enable accurate spatiotemporal activity analysis across diverse cell populations within many species. These tools are increasingly important for investigating cellular signaling dynamics and behavior. However, despite…
Tyler R. Johnson, Katherine D. Zerefos, Dawn M. Taylor
In unilateral rodent models of disease or injury, deficits are induced in only one side of the body, allowing the difference in right versus left limb usage to serve as a metric of disease/injury severity and recovery with various treatments. Unilateral rat models are commonly used for conditions such as Parkinson’s…
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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…