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Quantitative high throughput and single fly behaviors
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An Introduction to Drosophila Neuroscience - Lecture 1
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- 1 Quantitative high throughput and single fly behaviors
- 2 Compact genome
- 3 Fast reproduction time
- 4 Modular expression systems
- 5 Driver line libraries
- 6 Effector libraries
- 7 Sophisticated developmental tools
- 8 Connectomics
- 9 An example: From odor encoding to odor learning
- 10 Olfaction is a major cue for insects
- 11 How do olfactory neurons detect odor molecules?
- 12 Each odor is represented by a different pattern of receptor neuron activation
- 13 Different smells produce different patterns of brain activation
- 14 The mushroom body is required for learned but not innate odor avoidance
- 15 The mushroom body maps odor inputs onto motor outputs
- 16 Some mushroom body outputs drive attraction and others drive aversion
- 17 Each output neuron is modulated by its own dopamine neuron
- 18 When dopamine neurons fire after an odor, mushroom body responses to that odor decrease
- 19 Neurons that produce innate avoidance are required for attractive memory and vice versa
- 20 Another example: Motion vision
- 21 Directional motion is computed within the brain
- 22 How does this computation happen?
- 23 ON and OFF pathways in the visual system
- 24 Reconstructing the visual pathway
- 25 Electrophysiology from T4/T5 neurons
- 26 Inhibition, not multiplication, generates direction selectivity
- 27 Matched filters for optic flow
- 28 From photoreceptors to feature detectors
