Modelling visual attention towards embodiment cognition on a reconfigurable and programmable system

2015 28th IEEE International System-on-Chip Conference (SOCC) Pub Date : 2015-09-01 DOI:10.1109/SOCC.2015.7406924

Shufan Yang, Renfa Li, Qiang Wu

引用次数: 0

Abstract

Visual attention is a voluntary mechanism allows human to allocate our sensory and computational resources to the most valuable information embedded in the vast amount of incoming visual data. Neuromorphic prosthetics with high-level cognitive function can be used to complete increasingly sophisticated tasks. Inspired by recent developments in the field of attention modulation, we propose a biological neural attention model for online visual attention and implement this model on Xilinx ZYNQ 7000 System-on-chip system.

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在可重构可编程系统上对实施体认知的视觉注意建模

视觉注意是一种自愿的机制，它允许人类将我们的感官和计算资源分配给嵌入在大量输入的视觉数据中的最有价值的信息。具有高级认知功能的神经形态假肢可以用来完成越来越复杂的任务。受注意力调制领域最新发展的启发，我们提出了一种用于在线视觉注意力的生物神经注意力模型，并在赛灵思ZYNQ 7000片上实现了该模型。

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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2015 28th IEEE International System-on-Chip Conference (SOCC)

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