Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference
Fig 6
SBI diagnostics of summary statistics in HNN.
The analysis shown in Fig 4 is repeated on a simplified HNN simulations for comparison. A: Summary statistics included PCA30 (i), PCA4 (ii), Peak (iii), and BandPower (iv). Two exemplar simulations with input latencies Δt = 0 (blue) and Δt ≠ 0 (orange) are shown. B: We show the approximate posterior when conditioned on both the exemplar waveforms. The Δt = 0 time series produces a positive correlation between P and D for all summary statistics. C: Local parameter recovery error (PRE) is shown. Unlike the RC circuit, PCA30 and PCA4 permit better ground truth recovery even when Δt is near zero. In contrast, Peak features have poor parameter recovery similar to the RC example D: Local posterior predictive checks (PPC) are shown. PCA30 and PCA4 produce the values across the parameter grid.