文档介绍：A Discrete-Event work Simulator for
General Neuron Models
Makino, Takaki†
† Department of Information Science, Faculty of Science, Tokyo University.
Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033 Japan.
E-mail: ******@-
March 5, 2002
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Abstract
Efficient simulation techniques for a discrete-event pulsed work simulator was devel-
oped. In a discrete-event simulation framework, simulation plex neural behaviors, such as
phase precession and phase arbitration, demands prediction of delayed firing times. The new tech-
nique, the incremental partitioning method, uses linear envelopes of the state variable of a neuron
to partition the simulated time so that the delayed-firing time is reliably calculated by applying the
bined Newton-Raphson method to every partition. The quick filtering technique is
also proposed for reducing calculation cost of linear envelopes. The developed simulator, PUN-
NETS, has achieved efficiency and precision but still is capable of simulating plex behavior
of large-scale work models.
Keywords: pulsed work, work simulator, discrete-event simulation,
event-driven simulation, incremental partitioning method, S
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1 Introduction
The importance of time in a work simulation is increasing. Emerging research areas, such as
simulation of memory and context handling in a work, are requiring simulation of temporal
transitions of work. Recent studies pointed out that temporal coincidence of pulses has various
roles in the brain, including binding encoding [1, 2] and functional connectivity [3]. A high-precision
and efficient simulator for pulsed works is demanded for studying temporal behavior of the
brain.
Most existing simulators are based on a discrete-time simulation framework (also known as syn-
chronous simulation) [4, 5]. Although this framework is easy to develop, it inevitably requires a large
amount putation to increase temporal precision. If the temporal precision is reduced to achieve
efficiency, pulse timing