Reproduce “Single-Entity Spiking Neuron Models: Survey” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Leon Parepko, Danila Shulepin, Albert Nasybullin
The survey organizes single-entity neuron models around tradeoffs among computational simplicity, biological detail, and behavior. It distinguishes them from multi-compartment representations and compares features and uses across families, including integrate-and-fire, Hodgkin–Huxley, and Izhikevich. The table gives basic IF 1 FLOP, HH 1,200, and Izhikevich 13; these counts are not measured runtimes, and the survey reports no shared-task winner.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.