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Computational neuroethology: linking neurons, networks and behavior Mark E. Nelson Beckman Institute Univ. of Illinois, Urbana-Champaign
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TALK OUTLINE Multiscale modeling in computational neuroethology Model system - weakly electric fish Modeling strategies Level I:Behavior Level II:Sensory physics Level III:Single neurons Level IV:Local networks Summary
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Multiscale Organization of the Nervous System Organism Brain/CNS Networks Neurons Synapses Molecules Brain maps 1 m 10 cm 1 mm 100 m 1 m 1 Å 1 cm Churchland & Sejnowski 1988Delcomyn 1998
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Neuroethology: Neural Basis of Behavior Environment Delcomyn 1998 SensorsEffectors Organism Sensory Processing Motor Control Neural Integration Brain Body
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Neuroethology of Electrolocation Big picture: What are the neural mechanisms and computational principles of active sensing? Small picture: How do weakly electric fish capture prey? What computations take place in the CNS during prey capture behavior?
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BACKGROUND Weakly Electric Fish
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Distribution of Electric Fish
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Black ghost knifefish ( Apteronotus albifrons )
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mechano MacIver, from Carr et al., 1982 Electroreceptors ~15,000 tuberous electroreceptor organs 1 nerve fiber per electroreceptor organ up to 1000 spikes/s per nerve fiber
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Ecology & Ethology of A. albifrons inhabits tropical freshwater rivers and streams in South America nocturnal; hunts at night for aquatic insect larvae and small crustaceans in turbid water uses electric sense for prey detection, navigation, social interactions ribbon fin propulsion – forward/reverse/hover
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Self-generated Electric Field
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Principle of active electrolocation
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Prey-capture Behavior Daphnia magna (water flea) 1 mm
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BEHAVIOR Electrosensory-mediated Prey capture behavior
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Prey-capture video analysis
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Prey capture behavior
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Fish Body Model
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Motion capture software
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MOVIE: prey capture behavior
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Rapid reversal marks putative time-of-detection Velocity Profile (N=116) Acceleration Profile (N=116) Zero-crossing in acceleration is used as detection time
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Distribution of detection points Front viewSide view
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Active motor strategies: Dorsal roll toward prey
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Neuroethology: Neural Basis of Behavior Environment Delcomyn 1998 SensorsEffectors Organism Sensory Processing Motor Control Neural Integration Brain Body
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PHYSICS of electrosensory image formation
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Electrosensory Image Reconstruction
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Voltage perturbation at skin : Estimating Daphnia signal strength electrical contrast prey volume fish E-field at prey distance from prey to receptor THIS FORMULA CAN BE USED TO COMPUTE THE SIGNAL AT EVERY POINT ON THE BODY SURFACE
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Reconstructed Electrosensory Image ( )
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Electrosensory Images
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ELECTROPHYSIOLOGY of primary sensory afferents
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mechano MacIver, from Carr et al., 1982 Electroreceptors ~15,000 tuberous electroreceptor organs 1 nerve fiber per electroreceptor organ
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Neural coding in electrosensory afferent fibers
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Probability coding (P-type) afferent spike trains 00010101100101010011001010000101001010 P head = 0.333 P head = 0.337 P head = 0.333
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Model of primary afferents Brandman & Nelson Neural Comp. 14, 1575-1597 (2002)
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ELECTROPHYSIOLOGY of CNS electrosensory neurons
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ELL Circuitry
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ELL histology
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Compartmental Modeling
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Hodgkin-Huxley Model for voltage-dependent conductances
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Compartmental Modeling Hodgkin-Huxley Model for voltage-dependent conductances
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ELL pyramidal cell
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ELECTROPHYSIOLOGY of electrosensory networks
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Central Processing in the ELL
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Spatiotemporal processing in 3 parallel ELL maps Primary Electrosensory Afferents Centromedial map Space: small RFs Time: low-pass Centrolateral map Space: med. RFs Time: band-pass Lateral map Space: large RFs Time: high-pass temporal integration both spatial integration
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Multiresolution filtering in the CNS
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Neuroethology: Neural Basis of Behavior Environment Delcomyn 1998 SensorsEffectors Organism Sensory Processing Motor Control Neural Integration Brain Body
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Acknowledgements Malcolm MacIver Noura Sharabash Relly Brandman Jozien Goense Rama Ratnam Rüdiger Krahe Ling Chen Kevin Christie Jonathan House NIMH and NSF
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