摘要
本项目通过整合深度学习,提出和验证人脑声音/视觉相关学习和记忆的分子与细胞机制方法,为更加精准和智能的导航定位提供生物理论支撑,可以应用于多机器人协作、任务调度和分配提供模态广泛的情景记忆编码和决策运算。
in this project through the integration of deep learning,and verify the brain audio/visual correlation method of molecular and cellular mechanisms of learning and memory,to provide more accurate and intelligent navigation positioning biological theory support,and can be applied to multi-robot cooperation,task scheduling and distribution offers a broad modal of episodic memory encoding and decision-making operation.
出处
《数码设计》
2019年第15期167-169,共3页
Peak Data Science
关键词
分子级人脑
深度学习
记忆机制
molecular brain
Deep learning
Memory mechanism
