视网膜神经节细胞层模型的并行实现

2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2020-08-01 DOI:10.1109/INISTA49547.2020.9194616

Simona Nedelcheva, K. Georgieva, P. Koprinkova-Hristova

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引用次数: 1

摘要

本文介绍了视网膜神经节细胞层模型并行模拟的实现结果。目的是为了减少计算时间，因为这一层是人类视觉系统分层模型发展的瓶颈。每个视网膜神经节细胞都是由一个与眼睛观察到的视觉场景卷积的时空滤波器来建模的，因此它的计算时间对整个模拟至关重要。我们的并行实现将层的各个部分分配给几个独立工作的处理器，大大减少了计算时间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Parallel Implementation of the Model of Retina Ganglion Cells Layer

The paper presents results from implementation of parallel simulation of a model of layer of retina ganglion cells. The aim was to decrease computational time since this layer appeared to be the bottleneck in the developed hierarchical model of human visual system. Each retina ganglion cell was modelled by a spatio-temporal filter convolved with visual scene observed by the eyes so its computational time was crucial to overall simulation. Our parallel implementation that distributes pieces of the layer to the several independently working processors decreased significantly the computational time.

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来源期刊

2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)

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