Overview of the Allen Mouse Brain Atlas

Related lectures (32)

Page 3 of 4

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

Introduces the Allen Institute's brain atlases, genetic tools, connectivity analysis, and computational models for understanding brain function.

Discusses the diversity of neocortical neurons, challenges in dissociating human brain cells, and the evolution of expanded neocortex across mammals.

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

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

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

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

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

Explores paths, diffusion, and navigation in brain networks, including topics like Dijkstra's algorithm and network efficiency.

Offers a tutorial on interpreting gene expression heat maps from the Allen Institute.