首页> 外文会议>International conference on neural information processing;ICONIP 2009 >A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling
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A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling

机译:下一代建模环境PLATO:协作式脑系统建模平台

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To understand the details of brain function, a large scale system model that reflects anatomical and neurophysiological characteristics needs to be implemented. Though numerous computational models of different brain areas have been proposed, these integration for the development of a large scale model have not yet been accomplished because these models were described by different programming languages, and mostly because they used different data formats. This paper introduces a platform for a collaborative brain system modeling (PLATO) where one can construct computational models using several programming languages and connect them at the I/O level with a common data format. As an example, a whole visual system model including eye movement, eye optics, retinal network and visual cortex is being developed. Preliminary results demonstrate that the integrated model successfully simulates the signal processing flow at the different stages of visual system.
机译:为了了解脑功能的细节,需要实现一个反映解剖和神经生理特征的大规模系统模型。尽管已经提出了许多不同大脑区域的计算模型,但是由于大规模模型使用不同的编程语言描述了这些模型,并且主要是因为它们使用了不同的数据格式,因此尚未实现用于大规模模型开发的这些集成。本文介绍了一种用于协作式大脑系统建模(PLATO)的平台,该平台可以使用几种编程语言构建计算模型,并将它们在I / O级别与通用数据格式连接。例如,正在开发包括眼睛运动,眼睛光学,视网膜网络和视觉皮层的整个视觉系统模型。初步结果表明,该集成模型成功地模拟了视觉系统不同阶段的信号处理流程。

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