Extended Data Fig. 2: Computational models for predicting calcium signals in neurons. | Nature

Extended Data Fig. 2: Computational models for predicting calcium signals in neurons.

From: Selective presynaptic inhibition of leg proprioception in behaving Drosophila

Extended Data Fig. 2

a, Activation functions for claw, hook flexion, hook extension, and club and 9A neurons. b, Measured and fitted calcium signals of claw axons in response to applied ramp-and-hold movements of the femur-tibia joint (N = 10 flies per ramp-and-hold stimulus). Lines, mean of animal means; shadings, s.e.m. c, Cross-correlation between measured and fitted calcium signals at a time lag of zero (N = 10 flies, n = 20 trials in total). Black line, median. d, Same as b but for hook flexion axons (N = 14 flies). e, Same as c but for hook flexion axons (N = 14 flies, n = 28 trials in total). f, Same as b but for club axons (N = 14 flies). g, Same as c but for club axons (N = 14 flies, n = 28 trials in total). h, Response of the hook flexion model to an artificial femur-tibia joint angle without tracking noise. When the velocity threshold is larger than −50 deg/s, the model starts to predict strong calcium signals in response to slow flexions, as seen in the measured calcium signals. In bg, experimental data are from ref. 21.

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