Lecture

Fundamentals of Brain Connectomics

Related lectures (57)
Brain Connectomics: Basics of Neuroimaging
Covers the basics of brain connectomics, including brain networks, terminology, data schemes, preprocessing, node connectivity, and functional connectome structure.
Introduction to Networks and Brain Networks
Introduces the fundamentals of network science, focusing on brain networks and their historical breakthroughs.
Connectivity-Informed Brain Activity Interpretation
Explores integrating brain connectivity to decode and interpret brain activity using graph signal processing and spectral residual networks.
Neural Signals and Connectomes
Explores neural signals, connectomes, graph theory, and multi-voxel pattern analysis in fMRI trials.
Graph Theory in Neural Signal Processing
Explores neural signal processing through graph theory, multivariate methods, and fMRI analysis.
Neuronal Connectivity Patterns
Explores neuronal connectivity patterns, connection probabilities, and experimental techniques used to study synaptic connectivity.
The Microcircuits of Striatum in Silico
Explores the reconstruction of a full-scale mouse striatal cellular level model to integrate and interpret striatal data.
Data-Driven Modeling in Neuroscience: Meenakshi Khosla
By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Graph Models and Brain Connectomics
Explores graph theory in brain connectomics, MRI applications, network analysis relevance, and individual fingerprinting.
Observing the Brain: Neuroimaging Basics
Explores neuroimaging basics, brain network scales, connectivity, history, and physics, emphasizing the importance of understanding data at different scales.

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