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Related lectures (32)
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Transcriptonomics in Mouse Virtual Cortex
Delves into using transcriptonomics to study the mouse virtual cortex and classifying cortical neurons.
Connecting the Single Neuron to the Whole Brain
Explores techniques connecting a single neuron to the whole brain through imaging and tissue excision.
Cell type specific connectivity and shotgun connections
Explores cell type specific connectivity and shotgun connectomics in mapping neural connections at different scales.
Data available from the Allen human brain atlases
Covers the data available from the Allen human brain atlases, including gene expression analysis and the BrainSpan Atlas.
Introduction into Data Tools and Atlases: Allen Institute Overview
Introduces the Allen Institute's brain atlases, genetic tools, connectivity analysis, and computational models for understanding brain function.
Imaging the brain in action
Explores imaging brain activity using various techniques and covers spatiotemporal dynamics, sensorimotor cortex mapping, and real-time imaging.
Introduction to organisation principles
Introduces organizational principles and axon-tracing studies in brain connectivity.
Using AGEA in the Allen Mouse Brain Atlas
Introduces the Anatomic Gene Expression Atlas (AGEA) for exploring gene expression patterns in the mouse brain.
Human Brain Measurements Integration: Visual Cortex Insights
Explores integrating human brain measurements to understand photosensitivity and the impact of electrical stimulation on the visual hierarchy.
Observing the Brain: Neuroimaging Basics
Explores neuroimaging basics, brain network scales, connectivity, history, and physics, emphasizing the importance of understanding data at different scales.
Data Collection for Allen Mouse Brain Connectivity Atlas
Covers data collection methods for the Allen Mouse Brain Connectivity Atlas, including cell body injections and two-photon serial tomography.
Reconstructing Brain Regions: Challenges and Strategies
Explores challenges in brain region modeling using atlases and strategies to compensate for missing data and assumptions.
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