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Related lectures (32)
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Data-Driven Modeling in Neuroscience: Meenakshi Khosla
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By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
The Microcircuits of Striatum in Silico
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Explores the reconstruction of a full-scale mouse striatal cellular level model to integrate and interpret striatal data.
Neuron Classification: Types and Challenges
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Explores neuron classification, highlighting the importance of understanding brain complexity and the challenges in defining cell types.
Neuroscience Data Analysis
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Explores neuroscience data analysis, focusing on K+ and Na+ currents, Ca²+ currents, and data reproducibility.
Neuroscience and Machine Learning: Understanding Visual Intelligence
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Explores the relationship between neuroscience and machine learning in visual intelligence.
Blue Brain Project: Modeling Brain Tissue and Virtual Experiments
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Explores the Blue Brain Project's journey from modeling brain tissue to future goals.
Introduction to Systems Neuroscience: Memory Systems Overview
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Introduces systems neuroscience, focusing on neural circuits, memory systems, and course logistics.
Transgenic Mice: Cre-Lines and Optogenetics
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Covers transgenic mice using Cre-lines and optogenetics, exploring neural cell manipulation techniques and brain region-specific gene expression.
Integrative Benchmarking: Advancing System Models of Human Intelligence
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Explores advancing system models of human intelligence through integrative benchmarking and the importance of Brain-Score for fair model comparisons.
Spinal Cord fMRI at 7 Tesla
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Explores advancements in spinal cord fMRI at 7 Tesla, highlighting its significance in understanding central nervous system pathologies.
Dynamical modeling, decoding, and control of multiscale brain network activity
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Explores dynamical modeling, decoding, and control of brain network activity for personalized therapy.
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