Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Quantized-state systems: a DEVS Approach for continuous system simulation
Transactions of the Society for Computer Simulation International - Recent advances in DEVS Methodology--part I
Discrete Event Simulation of Hybrid Systems
SIAM Journal on Scientific Computing
M/CD++: modeling continuous systems using Modelica and DEVS
MASCOTS '05 Proceedings of the 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
Continuous System Simulation
On the stability and performance of discrete event methods for simulating continuous systems
Journal of Computational Physics
VLE: a multimodeling and simulation environment
Proceedings of the 2007 Summer Computer Simulation Conference
Type i membranes, phase resetting curves, and synchrony
Neural Computation
Modeling of neural decoder based on binary spiking neurons in DEVS
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Accelerating large-scale DEVS-based simulation on the cell processor
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Simple model of spiking neurons
IEEE Transactions on Neural Networks
Which model to use for cortical spiking neurons?
IEEE Transactions on Neural Networks
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In this work, we explore the usage of quantized state system (QSS) methods in the simulation of networks of spiking neurons. We compare the simulation results obtained by these discrete-event algorithms with the results of the discrete time methods in use by the neuroscience community. We found that the computational costs of the QSS methods grow almost linearly with the size of the network, while they grows at least quadratically in the discrete time algorithms. We show that this advantage is mainly due to the fact that QSS methods only perform calculations in the components of the system that experience activity.