首页> 外文期刊>Network Daily News >Researchers from Tianjin University Detail Findings in Networks (Brain-inspired Multisensory Integration Neural Network for Crossmodal Recognition Through Spatiotemporal Dynamics and Deep Learning)
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Researchers from Tianjin University Detail Findings in Networks (Brain-inspired Multisensory Integration Neural Network for Crossmodal Recognition Through Spatiotemporal Dynamics and Deep Learning)

机译:天津大学研究人员在网络中详细介绍了这一发现(基于时空动力学和深度学习的跨模态识别的类脑多感官整合神经网络)

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By a News Reporter-Staff News Editor at Network Daily News – Current studyresults on Networks have been published. According to news reporting from Tianjin, People’s Republicof China, by NewsRx journalists, research stated, “The integration and interaction of cross-modal sensesin brain neural networks can facilitate high-level cognitive functionalities. In this work, we proposed abioinspired multisensory integration neural network (MINN) that integrates visual and audio senses forrecognizing multimodal information across different sensory modalities.”
机译:由一个新闻记者在网络新闻编辑每日新闻——当前的研究已经出版。天津,中华人民共和国NewsRx记者,研究表示,"跨通道的集成和交互感官高级认知功能。工作中,我们提出了一个集成神经网络(明尼苏达州)集成视觉和听觉的感官多通道信息在不同的感觉模式”。

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    《Network Daily News》 |2023年第13期|77-78|共2页
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