Search Results for "neuroscience"
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Showing 31 open source projects for "neuroscience"
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NeuroMatch Academy (NMA)
NMA Computational Neuroscience course
NMA Computational Neuroscience course. We have curated a curriculum that spans most areas of computational neuroscience (a hard task in an increasingly big field!). We will expose you to both theoretical modeling and more data-driven analyses. The Neuro Video Series is a series of 12 videos that covers basic neuroscience concepts and neuroscience methods. These videos are completely optional and do not need to be watched in a fixed order so you can pick and choose which videos will help you brush up on your knowledge. ... -
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gramm
Gramm is a complete data visualization toolbox for Matlab
...As a reference to this inspiration, gramm stands for GRAMmar of graphics for MATLAB. A similar library called Seaborn also exists for Python. Gramm has been used in many publications from varied fields and is particularily suited for neuroscience, from human movement psychophysics (Morel et al. 2017), to electrophysiology (Morel et al. 2016; Ferrea et al. 2017), human functional imaging (Wan et al. 2017) and animal training (Berger et al. 2017). -
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Neuroglancer
WebGL-based viewer for volumetric data
...The viewer is built with a multi-threaded architecture, separating rendering and data processing to ensure smooth performance even with massive datasets. Extensively used in neuroscience research, Neuroglancer supports integration with tools. -
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PEBL (Psychology Experiment Building Language) is a system designed for creating psychology and neuroscience experiments and tests. It is cross-platform, with the intention to run the same experiment, unchanged, on Linux, Windows, and Macintosh PCs.
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EGO AGI
An inside-out cognitive engine based on autopoiesis and set theory
The Environment Generative Operator (EGO) is an AGI engine designed to create individuals capable of autonomous cognitive processes, based on the inside-out perspective of modern neuroscience. Their primary goal is survival – maintaining homeostatic equilibrium over time, which defines the system's operational framework. This approach aligns with autopoiesis, where a self-organizing system's cognitions consist of operations aimed at maintaining its own organization in response to environmental pressures. EGO's operational domain is an object language we call the 'E-language'. ... -
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PDP-OmniSim
PDP-OmniSim simulating parallel and distributed processing systems
PDP-OmniSim 🧬 Scientific Overview PDP-OmniSim is an advanced computational framework for simulating parallel and distributed processing systems, with cutting-edge applications in computational neuroscience, distributed computing, and complex systems modeling. The framework provides researchers with robust tools for large-scale simulations of networked systems and their emergent behaviors. 🎯 Key Scientific Contributions 🔬 Interdisciplinary Research Domains Computational Neuroscience: Large-scale neural population dynamics, brain-inspired computing architectures, and neuro-symbolic AI systems Distributed Systems: Scalable parallel processing simulations, resource allocation optimization, and fault-tolerant computing Complex Systems: Emergent behavior in networked systems, self-organizing criticality, and adaptive network topologies -
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123VCF
An Intuitive and Efficient Tool for VCF file filtration
...BMC Bioinformatics 25, 68 (2024). https://doi.org/10.1186/s12859-024-05661-5 _____________________________________ Authors: Milad Eidi, Samaneh Abdolalizadeh, Soheila Moeini Supervisors: Javad Zahiri, PhD - Masoud Garshasbi, PhD Department of Neuroscience, University of California San Diego, California, USA Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran -
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NuPIC
Numenta platform for intelligent computing
The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platform that implements the HTM learning algorithms. HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For more information, see numenta.org or the NuPIC Forum. If you want... -
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FASTER is a fully automated, unsupervised method for processing of high density EEG data. FASTER has been peer-reviewed, it is free and the software is open source. Nolan, H., Whelan, R., & Reilly, R.B. Journal of Neuroscience Methods, 192, 152-162.
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NeuralSyns
NeuralSyns is a neural simulator for large spiking networks.
NeuralSyns is a neural simulator for large spiking networks. New neuron and synapse dynamics can be added, and complex network models can be easily built using the included tool NetBuilder. OpenGL is used to show the network's architecture and activity. -
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Python in neuroscience
Collection of tutorials about methods of computational neuroscience
"Python in neuroscience" is a collection of collaboratively edited tutorials on computational neuroscience methods using Python language. Each tutorial is presented as a literate programming tutorial mixing text, code, and figures. The tutorials offer an introduction to basic methods of computational neuroscience and scientific programming in Python. -
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TONIC
Analysis of neural spiking data generated by multi-electrode arrays
A neuroscience data analysis package for handling extracellular potentials recorded by multi-electrode arrays, including signal processing, event detection, feature extraction, and spike sorting. -
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OpenGL based , OS-independent C++ library for the presentation of visual stimuli in Neuroscience experiments.
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Moose
Multiscale Neuroscience and Systems Biology Simulator
Moose is the core of a modern software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes. We have moved Github.com. This should be your source for the latest version of the code. -
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PsychoPy
Psychology/psychophysics/neuroscience software written in Python
This page is obsolete. The PsychoPy code and downloads are now hosted on github: https://github.com/psychopy/psychopy https://github.com/psychopy/psychopy/releases For further info see the homepage at http://www.psychopy.org -
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Used to record and analyze some behavioural experiments in neuroscience (using usb webcam). it was developed in collaboration with neuropharmacology lab at Faculty of Medicine, Ain Shams University. it can use(JMF,OpenCV,JMyron & AGCamLib) for webcam
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cnari
computational neuroscience applications research infrastructure
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Ablator
A tool for automating laser ablations for neuroscience
Ablator is a suite of software that automates the microscopic detection of cell targets and also directs a 2-photon microscope to lesion these targets in arbitrary patterns for neuroscience research. See Hayes et al 2012 for an example of its usage (http://www.pnas.org/content/109/21/8286.abstract). -
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Event Related Neuronal Simulation Tool
Computational neuroscience discrete event simulator.
The Event Related Neuronal Simulation Tool (ERNST) is a Java-based discrete event computational neuroscience (CNS) simulator. ERNST was developed and is maintained by the Computational Neuroscience Laboratory led by Dr. Ernst Niebur at the Zanvyl Krieger Mind/Brain Institute of Johns Hopkins University (JHU). -
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NeurAnim is a research aid for computational neuroscience. It is used to visualise and animate neural network simulations in 3D, and to render movies of these animations for use in presentations.
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Image and video acquisition for scientific applications, particularly in behavioral biology and neuroscience
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NeuraPy is now hosted on github This is a collection of Python modules that read files encountered in neuroscience experiments. Included are modules to read lablib files and modules to read Cyberkinetics Cerebus system .nev and .ns3 files
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This workbench tries to manage and analyze neuroscientific animal data with an emphasis on behaviorally orientated experiments. It's goal is to use the behavioral experimental data (stimulus, task, species...) as its source and perform analysis to e
