%0 Figure %A Maesani, Andrea %A Ramdya, Pavan %A Cruchet, Steeve %A Gustafson, Kyle %A Benton, Richard %A Floreano, Dario %D 2015 %T Small, fluctuation-driven models reproduce Drosophila locomotor patterns. %U https://plos.figshare.com/articles/figure/_Small_fluctuation_driven_models_reproduce_Drosophila_locomotor_patterns_/1610220 %R 10.1371/journal.pcbi.1004577.g004 %2 https://plos.figshare.com/ndownloader/files/2527294 %K pattern %K locomotor %K action selection circuits %K activity fluctuations %K moment %K timing %K model %K equilibria %K drosophila %K drive animal behavior %K action selection circuits cause %X

(A) The capacity of discovered models without (left) or with (right) fluctuating inputs (n = 250 models for each condition with 50 models of each size) to reproduce the basal locomotor statistics of Canton-S flies. (B) Fluctuation-driven models from panel A, dashed box, separated as a function of network size (n = 50 models for each size). (C) A dendrogram illustrating the similarity of odor-evoked locomotor patterns across 98 DGRP strains. Hierarchical clustering distance was based on the Pearson’s correlation coefficient between odor-response time-series for each strain. The three strains chosen for further analysis are color-coded cyan (strain A—RAL57), orange (strain B—RAL790), and red (strain C—RAL707). (D) A graph representation of the best model overall in panel B. This model was chosen for all subsequent analysis. Recurrent and reciprocal connection strengths are color-coded. The tau value for each neuron is shown in grey-scale. (E) Odor impulse locomotor patterns for the model in panel D (purple) optimized to match the odor impulse locomotor patterns of DGRP strains A (RAL57), B (RAL790), and C (RAL707). Locomotor frequency time-series for each strain are color-coded cyan, orange, and red, respectively.

%I PLOS Computational Biology