Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons

• Published in: arXiv.org
• Main Authors: Taylor, Luke, King, Andrew J, Harper, Nicol S
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 19.11.2023
• Subjects: Accuracy; Neurons; Simulation; Tradeoffs; Training

The adaptive leaky integrate-and-fire (ALIF) model is fundamental within computational neuroscience and has been instrumental in studying our brains \(\textit{in silico}\). Due to the sequential nature of simulating these neural models, a commonly faced issue is the speed-accuracy trade-off: either...