Lectures related to Neuroinformatics, Text Mining

Text Mining: Long-tail Data and Brain Connectivity

Explores text mining of long-tail data in neuroscience and brain connectivity, including named entity recognition, protein concentration mining, and comparison of connectivity matrices.

Understanding Knowledge Graphs MOOC: Simulation Neurocience

Explores the concept of Knowledge Graphs and their role in data integration and semantic understanding, showcasing real-world examples and applications.

In Silico Neuroscience: Data Reproducibility and Reusability

Emphasizes data reproducibility and reusability in in silico neuroscience, focusing on neuroinformatics tools and methods.

Neuroinformatics: Ontologies MOOC: Simulation Neurocience

Explores the role of ontologies in neuroscience, focusing on organizing data and defining entity properties.

Approaches and Rationale of Simulation Neuroscience MOOC: Simulation Neurocience

Explores the overview, rationale, and strategies of simulation neuroscience, emphasizing the challenges of reconstructing and simulating the brain.

Nexus Forge: Building and Using Knowledge Graphs Made Easy MOOC: Simulation Neurocience

Explores Nexus Forge, a tool for creating and utilizing knowledge graphs effortlessly.

Allen Human Brain Atlas: Basic Search and Visualization Functions

Offers a tutorial on the Allen Human Brain Atlas for searching and visualizing gene expression data.

Distributed Information Systems: Overview and Challenges

Covers Distributed Information Systems challenges, including autonomy, heterogeneity, trust evaluation, and privacy protection.

Observing the Brain: Neuroimaging Basics

Explores neuroimaging basics, brain network scales, connectivity, history, and physics, emphasizing the importance of understanding data at different scales.

Understanding Big Data in Neuroscience MOOC: Neuroscience Reconstructed: Genetics and Brain Development

Delves into Big Data in neuroscience, analyzing large datasets and addressing challenges in data organization, standardization, integration, and visualization.

NeuroCurator: Data Curation and Annotation Framework

Covers the NeuroCurator framework for precise data curation and annotation from literature.

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Ontology Engineering: Concepts and Applications

Covers ontology as a knowledge repository with agreed-upon meanings, evolution, continuous updating, and smart ontology design.

Semantic Web: Modeling and Ontologies

Explores the Semantic Web, database schemas, XML data model, and ontologies.

Theory and Ontology: Understanding Physical Theories and Ontological Frameworks

Explores the connection between physical theories and empirical data, contrasting standard quantum mechanics with Newtonian Mechanics' explicit ontology of particles in space.

Dynamic Functional Connectivity: Fundamentals

Covers the fundamentals of dynamic functional connectivity in the human brain, exploring challenges and analysis methods.

Temporal Entities: Modeling Time and Space

Explores universal ontologies, Wikidata, time modeling, clocks, calendars, and CIDOC-CRM.

Metadata Ontologies and Brain Atlases MOOC: Neuroscience Reconstructed: Genetics and Brain Development

Explores metadata standards, the Gene Ontology, and brain atlases in neuroscience.

Fundamentals of Brain Connectomics

Introduces the basics of brain connectomics, including terminology, data preprocessing, functional MRI, connectivity measures, and modular structure.

Causal Inference: Estimands and Ontologies

Explores causal inference, emphasizing the importance of committing to an ontology for drawing causal inferences and selecting appropriate estimands.