图 书 馆
超越灵感:来自生物学的五条关于建造智能机器的经验Beyond inspiration: Five lessons from biology on building intelligent machines |
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| 课程网址: | http://videolectures.net/deeplearning2016_olshausen_beyond_inspir... |
| 主讲教师: | Bruno Olshausen |
| 开课单位: | 视频讲座网 |
| 开课时间: | 2016-08-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The only known systems that exhibit truly intelligent, autonomous behavior are biological. If we wish to build machines that are capable of such behavior, then it makes sense to learn as much as we can about how these systems work. Inspiration is a good starting point, but real progress will require gaining a more solid understanding of the principles of information processing at work in nervous systems. Here I will focus on five areas of investigation that I believe will be especially fruitful: 1) the study of perception and cognition in tiny nervous systems such as wasps and jumping spiders, 2) developing good computational models of nonlinear signal integration in dendritic trees, 3) the use of sparse, overcomplete representations of sensory input, 4) understanding the computational role of feedback in neural systems, and 5) the use of active sensing systems for acquiring information about the world. |
| 关 键 词: | 生物系统; 自主行为; 神经系统; 计算模型 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-11-30：chenxin01 |
| 最后编审: | 2022-11-30：chenxin01 |
| 阅读次数: | 18 |