Jul 2026
Evaluating Encoding Strategies for Closed-Loop Classification in Biological Neural Networks
It is found that burst-based temporal encoding yields the highest observed performance, achieving up to 95.6 % accuracy in a binary classification task, compared to substantially lower performance from rate- and phase-based approaches.
Martín Schottlender, V. Volkova, Pengjie Zhou et al.
· arXiv.org · 0 citations