Fig. 2: Ensembles of DMNs predict tuning properties.
From: Connectome-constrained networks predict neural activity across the fly visual system
a, We task-optimized 50 connectome-constrained DMNs, yielding different solutions for the biophysical parameters (magenta), and compared the tuning properties of their cell types to experimental measurements. Inset: distribution of task errors. Blue: ten best models; also shown in b–d. b, ON- and OFF-contrast selectivity indices (FRI) for each cell type from ten models with best task performance (ten worst models in Extended Data Fig. 6). Yellow: cell types known to be ON-selective. Violet: known OFF-selective types. Black: selectivity not yet established experimentally. Bold: inputs to optic flow decoder. c, Direction selectivity index (DSI) from neural responses to moving edges; same ten models as above. d, Correlations between measurements and predictions of neural activity from seven types of DMN with different connectome and parameter constraints: FRI (pink); motion-tuning curves for T4 (red) and T5 (turquoise); dashes indicate median correlation across models. The first DMN type on the left corresponds to the main DMNs analysed in b,c and all subsequent figures; the remaining six DMNs incorporate fewer constraints. Ten best task-performing models from each DMN type.
