Lectures related to Connectomics

Fundamentals of Brain Connectomics

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

Brain Connectomics: Basics of Neuroimaging

Covers the basics of brain connectomics, including brain networks, terminology, data schemes, preprocessing, node connectivity, and functional connectome structure.

Structured Synaptic Connectivity in Hippocampal Regions

Explores synaptic connectivity in hippocampal regions, emphasizing the complexity of neuronal networks and the role of modeling approaches.

Brain Fingerprinting: Maximizing Identifiability

Explores brain fingerprinting, maximizing identifiability, and the potential clinical applications of the concept.

Neural Signals and Connectomes

Explores neural signals, connectomes, graph theory, and multi-voxel pattern analysis in fMRI trials.

Dynamic Functional Connectivity: Fundamentals

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

Introduction to Dynamic Functional Connectivity

Covers sliding window analysis, point-process analysis, and auto-regressive models in dynamic functional connectivity.

Tools and analysis of big data

Explores tools for managing and analyzing big data in the Human Brain Project, focusing on challenges in connectomics and 3D brain navigation.

Graph Models and Brain Connectomics

Explores graph theory in brain connectomics, MRI applications, network analysis relevance, and individual fingerprinting.

Introduction to the CA1 microcircuit MOOC: Simulating a hippocampus micro-circuit

Covers the introduction to the CA1 microcircuit and its diverse neuronal components, connectivity, and electrical properties.

Node Degree and Strength

Explores node degree and strength in network neuroscience, discussing random vs real networks and the challenges of fitting power laws to real data.

Node Degree and Strength

Explores brain node connectivity, node degree, strength, random networks, power law distributions, and the complexity of real networks.

Neural Anisotropy Directions

Focuses on neural anisotropy directions in deep learning and their impact on model accuracy.

Cell type specific connectivity and shotgun connections

Explores cell type specific connectivity and shotgun connectomics in mapping neural connections at different scales.

Brain Networks: Modules and Community Structure

Explores brain network modules and community structure, including the natural modular functional connectome, network modularity, and community detection algorithms.

Centrality and Hubs

Explores centrality, hubs, eigenvectors, clustering coefficients, small-world networks, network failures, and percolation theory in brain networks.

Brain Fingerprinting: Identifiability and Connectivity Patterns

Explores brain fingerprinting, individual differences, connectivity patterns, and clinical applications.

Modelling principles for CA1 Microcircuit simulation MOOC: Simulating a hippocampus micro-circuit

Explores principles of data-driven modeling for simulating hippocampus microcircuits.

Levels of Consciousness and Brain Connectivity

Discusses the definitions and assessment of consciousness levels through neuroimaging and brain networks, focusing on connICA for mapping functional connectome traits.

Neuroscience Techniques: Brain Classification & Study

Explores neuroscience techniques for brain classification and study at different scales.