In Silico Neuroscience: Data Reproducibility and Reusability
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By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Delves into neuron types, classification, challenges in reconstruction, staining techniques, and artifact correction, highlighting the importance of understanding brain complexity.
Explores the classification and electrical behaviors of GABAergic interneurons in the cerebral cortex, emphasizing the importance of consistent terminology and understanding ion channel diversity.
