Simulation Neuroscience: Overview

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Page 3 of 4

Introduction to Dynamic Functional Connectivity

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

Neuron Types: Classification and Morphological Diversity

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

Principles of Simulation Neuroscience

Covers principles of simulation neuroscience, dense reconstructions, bottom-up approach, and modeling trade-offs.

Untitled

Neuroinformatics, Text Mining

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

Brain Fingerprinting: Maximizing Identifiability

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

Modules and Community Structure of Brain Networks

Delves into brain network modules, modularity, and community structure, including dynamic modularity and upcoming midterm details.

Concluding remarks

Summarizes the course on brain function, highlighting progress and future directions.

Introduction to Networks and Brain Networks

Introduces the fundamentals of network science, focusing on brain networks and their historical breakthroughs.

Transgenic Mice: Cre-Lines and Optogenetics

Explores transgenic mice, optogenetics, single-cell RNA sequencing, the Allen Brain Atlas, and electrode technologies in neuroscience research.