Fig. 3: Feature weight similarity predicts synaptic selectivity more accurately than RF centre distance. | Nature

Fig. 3: Feature weight similarity predicts synaptic selectivity more accurately than RF centre distance.

From: Functional connectomics reveals general wiring rule in mouse visual cortex

Fig. 3: Feature weight similarity predicts synaptic selectivity more accurately than RF centre distance.

a, Axon–dendrite co-travel distance increases with feature weight similarity and decreasing RF centre distance for within-area (V1→V1 and HVA→HVA), feedforward (V1→HVA) and feedback (HVA→V1) connectivity. Bands represent bootstrapped s.e.m. Sample sizes for GLMM statistics are shown in Supplementary Tables 710. b, Synapse density increases with feature weight similarity, but not with RF distance, except for HVA→V1 projections. Bands represent bootstrapped s.e.m. Sample sizes for GLMM statistics are shown in Supplementary Tables 1114. c, Multiple synapses are associated with increasing feature similarity, but not RF centre distance for 6,608 pairs of connected neurons, after regressing out Ld. Error bars represent s.e.m. Feature weight similarity: P =  0.003; RF distance: P = 0.358; by linear regression. d, Only feature similarity (and not RF centre distance) is associated with an increase in cleft volume for 6,608 pairs of connected neurons after regressing out Ld. Error bars represent s.e.m. Feature weight similarity: P = 2.391 × 10−21; RF distance: P = 0.451; Benjamini–Hochberg corrected.

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