In Silico Neuroscience: Neuron Classification

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (30)

Page 1 of 3

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.

Morphological Reconstruction in Neuroscience

Explores the challenges and significance of classifying neurons based on morphology for accurate brain modeling and understanding brain function.

Neuron Classification: Types and Challenges

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

Foreign Body Reaction: Neural Interfaces

Explores the foreign body reaction to neural interfaces and the impact on implant performance.

Implant Foreign Body Reaction

Explores the foreign body reaction to implants, acute phase of insertion, perfusion impact, BBB rupture, repair processes, imaging, and cell staining.

Detecting Objects: Independent Channels

Emphasizes the need for independent channels when detecting objects in images.

Data strategies: building neural circuits

Explores data strategies for building neural circuits in simulation neuroscience.

Cell Staining for Live and Dead Cells

Covers the process of cell staining for live and dead cells.

Optogenetics: Probing Neuronal Activity with Light

Explores optogenetics, genetically-encoded tools, and clinical applications in probing neuronal activity with light.

In Silico Neuroscience: Ion Channels and Neuronal Models

Explores detailed modeling of ion channels and neuronal morphologies in in silico neuroscience, covering neuron classification, ion channel kinetics, and experimental observations.