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Quantitative high throughput and single fly behaviors
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Compact genome
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Fast reproduction time
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Modular expression systems
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Driver line libraries
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Effector libraries
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Sophisticated developmental tools
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Connectomics
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An example: From odor encoding to odor learning
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Olfaction is a major cue for insects
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How do olfactory neurons detect odor molecules?
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Each odor is represented by a different pattern of receptor neuron activation
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Different smells produce different patterns of brain activation
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The mushroom body is required for learned but not innate odor avoidance
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The mushroom body maps odor inputs onto motor outputs
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Some mushroom body outputs drive attraction and others drive aversion
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Each output neuron is modulated by its own dopamine neuron
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When dopamine neurons fire after an odor, mushroom body responses to that odor decrease
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Neurons that produce innate avoidance are required for attractive memory and vice versa
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Another example: Motion vision
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Directional motion is computed within the brain
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How does this computation happen?
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ON and OFF pathways in the visual system
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Reconstructing the visual pathway
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Electrophysiology from T4/T5 neurons
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Inhibition, not multiplication, generates direction selectivity
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Matched filters for optic flow
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From photoreceptors to feature detectors
Description:
Explore the fascinating world of Drosophila neuroscience in this comprehensive lecture by Katherine Nagel, part of the ICTP-ICTS Winter School on Quantitative Systems Biology. Delve into the advantages of using Drosophila as a model organism, including its compact genome, fast reproduction time, and sophisticated genetic tools. Discover how the fruit fly's nervous system processes sensory information, focusing on olfaction and motion vision. Learn about the mushroom body's role in odor learning and memory, and understand how directional motion is computed within the fly's brain. Gain insights into cutting-edge research techniques, including connectomics, electrophysiology, and genetic manipulation, that are advancing our understanding of neural circuits and behavior. This lecture provides a solid foundation for students and researchers interested in quantitative approaches to systems neuroscience.

An Introduction to Drosophila Neuroscience - Lecture 1

International Centre for Theoretical Sciences
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