Mathematical approach on social hierarchical behaviors with cBRAIN(The novel system for research of collective animals)
- Mathematical approach on social hierarchical behaviors with cBRAIN(The novel system for research of collective animals)
- 최지현; 김지수; 김채우; 염우섭; 이성규
- Group behavior; Social hierarchy
- Issue Date
- International brain research organization
- Social hierarchical behaviors in group mice have been investigated by various approaches involving neural, behavioral and cognitive level. However, understanding of mechanisms underlying the hierarchical behaviors in a group is limited by the ability to track each individual in a natural environment. Here we introduce a novel method, cBRAIN (Collective Brain Research Aided by IlluminatingNeuralActivities),whichwasdevelopedforthepurposeoftrackingthepositionandcertain neural activity of all naturally behaving individuals in a group at the same time. The cBRAIN is composedofitshardwareapparatuswhichincludesaheadstage,CCDcamera,anddataloggertoacquire therawvideoandEEGdata,andsoftwaretoextractandanalyzethepositiondataandneuralopticaldata. The 3.5-g weighted headstage is a telemetry featuring recording and data transmission, and blue and red LED lights indicating the position and the occurrence of user-set neural activity, respectively. With this novelsystem,wedevelopedthehierarchicalbehaviorclassificationalgorithmwhichclassifiesaggressive (fighting or chasing) or non-aggressive behaviors by features (distance between two mice, velocity and phase space of angle-angular velocity) produced based on the tracking data. To validate the behavior classification algorithm, we compared the result of Tube Dominance test with the frequencies of aggressive behaviors classified by the algorithm. The cBRAIN system provides a promising ground for studying dynamic interplay between social behaviors and neural activities from naturally behaving individuals living in a group. Therefore, associating the neural activities with hierarchical behaviors of a group of mice is one of the golden future studies.
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