2205.09855
Latency correction in sparse neuronal spike trains
Thomas Kreuz, Federico Senocrate, Gloria Cecchini, Curzio Checcucci, Anna Letizia Allegra Mascaro, Emilia Conti, Alessandro Scaglione, Francesco Saverio Pavone
correctmedium confidence
- Category
- Not specified
- Journal tier
- Strong Field
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper correctly defines SPIKE-synchronization C, SPIKE-order D, and the Synfire Indicator F, and explicitly states the bound F ≤ C and the empirical relationships among improvement I, F, and C. The candidate solution gets Parts A and B right but Part C mis-normalizes F for N=2 (dropping the factor C=2K/M), leading to an over-strong and generally false bound I ≤ 2F unless C=1; it also incorrectly asserts that C increases in its two-train construction.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions
\textbf{Journal Tier:} strong field
\textbf{Justification:}
The paper cleanly formulates C, D, and F, and provides a practical algorithm for latency correction, with clear evidence that a high Synfire Indicator is the primary determinant of success. The results on simulated and experimental datasets are consistent and well-motivated. Minor clarifications would strengthen rigor but the core is correct and useful.