Unsupervised learning of control signals and their encodings in $\textit{C. elegans}$ whole-brain recordings

13 Apr 2020 Fieseler Charles Zimmer Manuel Kutz J. Nathan

Recent whole brain imaging experiments on $\textit{C. elegans}$ has revealed that the neural population dynamics encode motor commands and stereotyped transitions between behaviors on low dimensional manifolds. Efforts to characterize the dynamics on this manifold have used piecewise linear models to describe the entire state space, but it is unknown how a single, global dynamical model can generate the observed dynamics... (read more)

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