Video capture is increasingly necessary for neuroscience research where neural and behavioral data are synchronized to reveal correlative and causal relationships. This relies on a recording system that can capture quality videos without significant alterations to preexisting experimental conditions (e.
Understanding of how neurons encode and compute information is fundamental to our study of the brain, but opportunities for hands-on experience with neurophysiological techniques on live neurons are scarce in science education.
World Wide Series Seminar AAV are versatile tools used by neuroscientists for expression and manipulation of neurons. Many scientists have benefited from the high-quality, ready-to-use AAV prep service from Addgene, a nonprofit plasmid repository.
KnowledgeSpace aims to be a globally-used, community-based, data-driven encyclopedia for neuroscience that links brain research concepts to data, models, and the literature that support them. Further it aims to serve as a framework where large-scale neuroscience projects can expose their data to the neuroscience community-at-large.
Neurostars is an open source question and answer site that serves the INCF network and the global neuroscience community as a forum for knowledge exchange between neuroscience researchers at all levels of expertise, software developers, and infrastructure providers.
The INCF portal is the guide to the INCF activities and its community resources.
INCF advances data reuse and reproducibility in brain research by coordinating the development of Open, FAIR, and Citable tools and resources for neuroscience
WholeBrain is a software to create anatomical maps. With a code base in C/C++ with wrappers to R and JavaScript/WASM.
The purpose of WholeBrain is to provide a user-friendly and efficient way for scientist with minimal knowledge of computers to create anatomical maps and integrate this information with behavioral and physiological data for sharing on the web.
ReproNim’s goal is to improve the reproducibility of neuroimaging science and extend the value of our national investment in neuroimaging research, while making the process easier and more efficient for investigators.
DeepLabCut™ is an efficient method for 3D markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results (i.e. you can match human labeling accuracy) with minimal training data (typically 50-200 frames).
BossDB is a volumetric database that lives in the AWS cloud. Hundreds of terabytes of electron microscopy, light microscopy, and x-ray tomography data are available for free download and study.