Bulletin of the American Physical Society
APS March Meeting 2017
Volume 62, Number 4
Monday–Friday, March 13–17, 2017; New Orleans, Louisiana
Session S49: Patterns and Control in Animal BehaviorInvited
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Sponsoring Units: DBIO Chair: Josh Shaevitz, Princeton University Room: 396 |
Thursday, March 16, 2017 11:15AM - 11:51AM |
S49.00001: Shared Sensory Estimates for Human Motion Perception and Pursuit Eye Movements Invited Speaker: Leslie Osborne |
Thursday, March 16, 2017 11:51AM - 12:27PM |
S49.00002: Predictability and hierarchy in animal behavior Invited Speaker: Gordon Berman Even the simplest of animals exhibit behavioral sequences with complex temporal dynamics. Prominent amongst the proposed organizing principles for these dynamics has been the idea of a hierarchy, wherein the movements an animal makes can be understood as a set of nested sub-clusters. Although this type of organization holds potential advantages in terms of motion control and neural circuitry, measurements demonstrating this for an animal's entire behavioral repertoire have been limited in scope and temporal complexity. Here, we use a recently developed unsupervised technique to discover and track the occurrence of all stereotyped behaviors performed by fruit flies moving in a shallow arena. Calculating the optimally predictive representation of the fly's future behaviors, we show that fly behavior exhibits multiple time scales and is organized into a hierarchical structure that is indicative of its underlying behavioral programs and its changing internal states. [Preview Abstract] |
Thursday, March 16, 2017 12:27PM - 1:03PM |
S49.00003: Whole-brain neural dynamics and behavior in a freely moving worm Invited Speaker: Andrew Leifer How does the collective activity of many individual neurons drive an animal’s behavior? I will present a suite of optical tools to control and record neural activity in the nematode \textit{C. elegans} as it moves, including an instrument to perform whole-brain calcium imaging with cellular resolution in an awake and unrestrained behaving animal. We are using this technology platform to investigate how a nervous system generates an animal’s behavior. We have already used these techniques to gain insight into the underlying neural mechanisms behind mechanosensation, forward locomotion, and the \textit{C. elegans} escape response. Now we are beginning to expand our investigation to reveal how collective neural dynamics generates any behavior in the \textit{C. elegans} behavioral repertoire. These measurements are a critical first step towards investigating higher-level functions like the time evolution of internal brain states and decision-making. [Preview Abstract] |
Thursday, March 16, 2017 1:03PM - 1:39PM |
S49.00004: Representation matters: quantitative behavioral variation in wild worm strains Invited Speaker: Andre Brown Natural genetic variation in populations is the basis of genome-wide association studies, an approach that has been applied in large studies of humans to study the genetic architecture of complex traits including disease risk. Of course, the traits you choose to measure determine which associated genes you discover (or miss). In large-scale human studies, the measured traits are usually taken as a given during the association step because they are expensive to collect and standardize. Working with the nematode worm \textit{C. elegans}, we do not have the same constraints. In this talk I will describe how large-scale imaging of worm behavior allows us to develop alternative representations of behavior that vary differently across wild populations. The alternative representations yield novel traits that can be used for genome-wide association studies and may reveal basic properties of the genotype-phenotype map that are obscured if only a small set of fixed traits are used. [Preview Abstract] |
Thursday, March 16, 2017 1:39PM - 2:15PM |
S49.00005: Rhythmic Continuous-Time Coding in the Songbird Analog of Vocal Motor Cortex Invited Speaker: Michale Fee |
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