Lectures related to Neuroscience Data Analysis

In Silico Neuroscience: Data Reproducibility and Reusability

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

In Silico Neuroscience: Network Simulation

Delves into simulating network dynamics in in silico neuroscience, covering spontaneous and evoked activity, in-vitro and in-vivo simulations, and sensitivity analysis.

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.

Neuroinformatics, Text Mining MOOC: Simulation Neurocience

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

In Silico Neuroscience: Network Assembly

Explores assembling in silico neuroscience networks, defining space, and dealing with sparse data to reconstruct brain regions.

Scientific Computing in Neuroscience

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

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: Modern Approaches and Applications

Introduces modern neuroscience approaches and applications, emphasizing computational modeling and its importance in understanding the brain.

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

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

Neurosciences I: Molecular Neuroscience and Neurodegeneration

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

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

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

Neuroscience Dataset Recommendation MOOC: Simulation Neurocience

Covers a tutorial on recommending similar neuroscience datasets using knowledge embeddings.

In Silico Neuroscience: Ion Channels and Neuronal Models

Explores detailed modeling of ion channels and neuronal morphologies in in silico neuroscience, covering neuron classification, ion channel kinetics, and experimental observations.

Text Mining and Data Curation MOOC: Neuroscience Reconstructed: Genetics and Brain Development

Explores text mining, data curation, and brain connectivity in neuroscience.

Neuroscience Data Analysis Log in to Mediaspace to watch this video

Explores neuroscience data analysis, focusing on K+ and Na+ currents, Ca²+ currents, and data reproducibility.

Data-Driven Modeling in Neuroscience: Meenakshi Khosla Log in to Mediaspace to watch this video

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.

Network Simulation and Activity Dynamics Log in to Mediaspace to watch this video

Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.

Neuron Classification: Types and Challenges Log in to Mediaspace to watch this video

Explores neuron classification, highlighting the importance of understanding brain complexity and the challenges in defining cell types.

Knowledge Representation: Semantics and Data Structures Log in to Mediaspace to watch this video

Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.

Neuron Types: Classification and Morphological Diversity Log in to Mediaspace to watch this video

Delves into neuron types, classification, challenges in reconstruction, staining techniques, and artifact correction, highlighting the importance of understanding brain complexity.