Lectures related to Neuroinformatics: Ontologies

Neuroinformatics, Text Mining MOOC: Simulation Neurocience

Explores text mining in neuroinformatics to extract brain connectivity data and annotate model parameters from scientific literature.

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.

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.

Semantic Web: Knowledge Representation

Explores Semantic Web concepts, RDF syntax, and knowledge representation using RDF statements and Schema.org.

The Allen Institute Mouse Brain Data MOOC: Neuroscience Reconstructed: Genetics and Brain Development

Explores the Allen Institute Mouse Brain data collection and development processes.

Ontology Engineering: Concepts and Applications

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

Transcriptonomics in Mouse Virtual Cortex

Delves into using transcriptonomics to study the mouse virtual cortex and classifying cortical neurons.

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.

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

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

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.

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Neurosciences I: Molecular Neuroscience and Neurodegeneration

Covers molecular neuroscience, neurodegeneration, cell types, neuron structure, and history of neuroscience breakthroughs.

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.

Modeling the synaptic potential MOOC: Simulation Neurocience

Explores the modeling of synaptic potentials and the factors influencing their amplitude.

Temporal Entities: Modeling Time and Space

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

Cellular Mechanisms of Brain Function

Covers the structure of a neuroscience course, focusing on cell membrane, ion channels, synaptic transmission, and brain function.

Causal Inference: Estimands and Ontologies

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