Discrete event simulation in the NEURON environment

机译：NEURON环境中的离散事件模拟

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The response of many types of integrate and fire cells to synaptic input can be computed analytically and their threshold crossing either computed analytically or approximated to high accuracy via Newton approximation. The NEURON simulation environment simulates networks of such artificial spiking neurons using discrete event simulation techniques in which computations are performed only when events are received. Thus, computation time is proportional only to the number of events delivered and is independent of the number of cells or problem time.

机译：可以通过计算来计算许多类型的整合和火细胞对突触输入的响应，并且可以通过分析来计算其阈值交叉，或者可以通过牛顿逼近来对它们的阈值进行逼近。 NEURON仿真环境使用离散事件仿真技术来仿真此类人工加标神经元的网络，其中仅在接收到事件时才执行计算。因此，计算时间仅与传递的事件数成比例，并且与单元数或问题时间无关。

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来源
《Computational Neuroscience Meeting(CNS03); 20030705-09; Alicante(ES)》|2003年|P.1117-1122|共6页
会议地点 Alicante(ES)
作者
M.L. Hines; N.T. Carnevale;
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作者单位

Department of Computer Science, Yale University, 51 Prospect Street, New Haven, CT 06520 8285, USA;

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会议组织
原文格式 PDF
正文语种 eng
中图分类生理学;
关键词
artificial cells; spiking nets; discrete events; simulation; integrate and fire;

机译：人造细胞;刺网;离散事件;模拟;整合和射击;
入库时间 2022-08-26 14:29:48

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4. Discrete event simulation in the NEURON environment [C] . M. L. Hines, N. T. Carnevale Computational Neuroscience Meeting . 2004

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机译：NEURON环境中的离散事件模拟

Discrete event simulation in the NEURON environment

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