In this paper we present a brain-inspired cognitive architecture that incorporates sensory processing, classification, contextual prediction, and emotional tagging. The cognitive architecture is implemented as three modular web-servers, meaning that it can be deployed centrally or across a network for servers. The experiments reveal two distinct operations of behaviour, namely high- and low-salience modes of operations, which closely model attention in the brain. In addition to modelling the cortex, we have demonstrated that a bio-inspired architecture introduced processing efficiencies. The software has been published as an open source platform, and can be easily extended by future research teams. This research lays the foundations for bio-realistic attention direction and sensory selection, and we believe that it is a key step towards achieving a bio-realistic artificial intelligent system.

中文翻译：

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受脑启发的分布式认知架构

在本文中，我们提出了一种受大脑启发的认知架构，它结合了感觉处理、分类、上下文预测和情感标记。认知架构被实现为三个模块化 Web 服务器，这意味着它可以集中部署或跨网络部署服务器。实验揭示了两种不同的行为操作，即高显着性和低显着性操作模式，它们与大脑中的注意力密切相关。除了对皮层建模之外，我们还证明了仿生架构引入了处理效率。该软件已作为开源平台发布，未来的研究团队可以轻松扩展。这项研究为生物现实的注意力方向和感官选择奠定了基础，