Accuracy evaluation of numerical methods used in state-of-the-art simulators for spiking neural networks |
| |
Authors: | Stephan Henker Johannes Partzsch René Schüffny |
| |
Institution: | (1) Endowed Chair for Parallel VLSI Systems and Neural Circuits Institute of Circuits and Systems, University of Technology Dresden, Dresden, Germany |
| |
Abstract: | With the various simulators for spiking neural networks developed in recent years, a variety of numerical solution methods
for the underlying differential equations are available. In this article, we introduce an approach to systematically assess
the accuracy of these methods. In contrast to previous investigations, our approach focuses on a completely deterministic
comparison and uses an analytically solved model as a reference. This enables the identification of typical sources of numerical
inaccuracies in state-of-the-art simulation methods. In particular, with our approach we can separate the error of the numerical
integration from the timing error of spike detection and propagation, the latter being prominent in simulations with fixed
timestep. To verify the correctness of the testing procedure, we relate the numerical deviations to theoretical predictions
for the employed numerical methods. Finally, we give an example of the influence of simulation artefacts on network behaviour
and spike-timing-dependent plasticity (STDP), underlining the importance of spike-time accuracy for the simulation of STDP. |
| |
Keywords: | |
本文献已被 PubMed SpringerLink 等数据库收录! |
|