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. Author manuscript; available in PMC: 2020 Jun 15.
Published in final edited form as: Nat Neurosci. 2019 Dec 2;23(1):94–102. doi: 10.1038/s41593-019-0534-9

Extended Data Fig. 7. Speculative network model implementation of urgency-related signals in freely swimming larval zebrafish.

Extended Data Fig. 7

a, Network model as in Fig. 3k but with inhibitory bout clock attached to the dynamic threshold clusters. We speculate that the bout clock or the system for keeping balance act as urgency-related signals here. These signals lead to rapidly collapsing bounds, allowing for spontaneous swimming. Also, in this model, each simulated bout induced opposing visual feedback, as in Fig. 1gl. b, Copy of behavior data from Fig. 1bf. c, Network model simulation results, quantified as in Fig. 1bf,hl. N = 8 model runs in (c). All error bars are mean ± sem over fish in (b) or model runs in (c). Asterisks (*) in (b) indicate significance (*p < 0.05, *p < 0.01, or *p < 0.001). See Fig. 1bf for more details on p-values and statistics.