Research map / Probabilistic and scientific modeling / Dynamical systems
Efficient Inference of Flexible Interaction in Spiking-neuron Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use SNMHP with EM instead of MCMC-Aug | Synthetic data · Synthetic data, training | LogL (×10^3): 2.199 -> 2.465 | Helped |
| Use SNMHP with EM instead of MCMC-Aug | Synthetic data · Synthetic data, test | LogL (×10^3): 2.278 -> 2.373 | Helped |
| Use SNMHP with EM instead of MCMC-Aug | Real cat V1 data · Real cat V1 data, training | LogL (×10^3): -15.328 -> -5.519 | Helped |
| Use SNMHP with EM instead of MCMC-Aug | Real cat V1 data · Real cat V1 data, test | LogL (×10^3): -6.133 -> -5.862 | Helped |
| Use SNMHP with EM instead of MCMC-Aug | Real cat V1 data · Real cat V1 data | running time: 1h 45m -> 3m | Helped |
| Replace the flexible inhibitory-capable model with vanilla multivariate Hawkes using MLE | Synthetic neural network · Synthetic data | functional connectivity recovery | Hurt |
| Increase quadrature nodes beyond 100 (ablation) | SNMHP with EM · Synthetic data | LogL | No clear effect |
| Increase the number of basis functions beyond 4 (ablation) | SNMHP with EM · Synthetic data | LogL | No clear effect |
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