Normalized regression coefficients in heterogeneously varied synaptic networks | ||||
---|---|---|---|---|
Synaptic variable | Propagation linear | Propagation 2° | Oscillation linear | Oscillation 2° |
TRN1-TRN3 | - | - | 0.115 | - |
TRN3-TRN1 | –0.088 | |||
TRN3-TRN2 | –0.084 | –0.073 | - | - |
TRN1=TRN2 | –0.051 | –0.091 | - | - |
TRN1=TRN3 | –0.072 | - | - | - |
TRN2=TRN3 | - | –0.113 | 0.117 | - |
TRN1-TC1 | –0.075 | - | 0.621 | 0.077 |
TRN1-TC2 | 0.608 | 0.571 | –0.289 | –1.000 |
TRN2-TC2 | –0.128 | –0.196 | 0.333 | 0.417 |
TRN2-TC3 | 1.000 | 1.000 | –0.379 | –0.892 |
TRN3-TC3 | –0.207 | –0.239 | 1.000 | 0.107 |
(TRN3-TRN2)2 | - | 0.079 | - | - |
(TRN1-TC2)2 | - | –0.245 | - | 0.189 |
(TRN2-TC2)2 | - | 0.174 | - | –0.093 |
(TRN2-TC3)2 | - | –0.472 | - | 0.278 |
(TRN3-TC3)2 | - | 0.187 | - | –0.146 |
TRN1-TRN2 × TRN1-TC2 | - | 0.070 | - | - |
TRN1-TRN3 × TRN3-TC3 | - | - | - | 0.215 |
TRN2-TRN1 × TRN1=TRN2 | - | - | - | 0.111 |
TRN2-TRN1 × TRN1-TC1 | - | - | - | –0.186 |
TRN3-TRN1 × TRN1-TC1 | - | - | - | –0.172 |
TRN3-TRN1 × TRN1-TC2 | - | –0.119 | - | - |
TRN3-TRN1 × TRN2-TC3 | - | –0.096 | - | - |
TRN3-TRN2 × TRN2-TC3 | - | –0.153 | - | - |
TRN1=TRN2 × TRN2-TC3 | - | - | - | –0.129 |
TRN1=TRN3 × TRN1-TC1 | - | - | - | –0.114 |
TRN1=TRN3 × TRN3-TC3 | - | –0.079 | - | - |
TRN1-TC1 × TRN1-TC2 | - | - | - | 0.634 |
TRN1-TC1 × TRN2-TC3 | - | - | - | 0.449 |
TRN1-TC2 × TRN2-TC2 | - | –0.166 | - | 0.361 |
TRN1-TC2 × TRN2-TC3 | - | 0.753 | - | –0.274 |
TRN1-TC2 × TRN3-TC3 | - | –0.106 | - | 0.669 |
TRN2-TC2 × TRN2-TC3 | - | - | - | 0.345 |
TRN2-TC2 × TRN3-TC3 | - | - | - | –0.192 |
TRN2-TC3 × TRN3-TC3 | - | –0.124 | - | 0.399 |
The regressions include 1°, 2°, and interaction terms corresponding to the 14 variable synapses in the networks. Equal signs denote gap junctions. Linear regression for propagation, R2 = 0.742, RMSE = 0.069, p < 0.0001; 2° regression for propagation, R2 = 0.857, RMSE = 0.051, p < 0.0001; linear regression for oscillation, R2 = 0.253, RMSE = 0.131, p < 0.0001; 2° regression for oscillation, R2 = 0.388, RMSE = 0.118, p < 0.0001.