title: Fast digital simulation of spiking neural networks and neuromorphic integration with SPIKELAB.
abstract: We present a simulation environment called SPIKELAB which incorporates a simulator that is able to simulate large networks of spiking neurons using a distributed event driven simulation. Contrary to a time driven simulation, which is usually used to simulate spiking neural networks, our simulation needs less computational resources because of the low average activity of typical networks. The paper addresses the speed up using an event driven versus a time driven simulation and how large networks can be simulated by a distribution of the simulation using already available computing resources. It also presents a solution for the integration of digital or analogue neuromorphic circuits into the simulation process.
authors.affiliation: Department of Computer Science II, University of Bonn, Germany.
authors.forename: C
authors.initials: C
authors.lastname: Grassmann
authors.forename: J K
authors.initials: JK
authors.lastname: Anlauf
mesh_terms: D000200:Action Potentials; D003051:Cochlea / Q000502:physiology; D003198:Computer Simulation; D003199:Computer Systems; D003201:Computers; D003202:Computers, Analog; D003712:Dendrites / Q000502:physiology; D016571:Neural Networks, Computer; D009475:Neurons, Afferent / Q000502:physiology / Q000648:ultrastructure; D012160:Retina / Q000502:physiology; D013569:Synapses / Q000502:physiology; D013997:Time Factors