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9.29J / 9.912J / 8.261J Introduction to Computational Neuroscience[计算神经科学导论

9.29J / 9.912J / 8.261J Introduction to Computational Neuroscience[计算神经科学导论
课程网址: http://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-29j-int...  
主讲教师: Prof. Sebastian Seung
开课单位: 麻省理工学院
开课时间: 2004-01-01
课程语种: 英语
中文简介:
本课程对神经编码和动力学进行了数学介绍。主题包括卷积,相关,线性系统,博弈论,信号检测理论,概率论,信息论和强化学习。涵盖了神经编码的应用,侧重于视觉系统,以及Hodgkin-Huxley和神经兴奋性的其他相关模型,离子通道的随机模型,电缆理论和突触传递模型。访问Seung Lab网站。
课程简介: This course gives a mathematical introduction to neural coding and dynamics. Topics include convolution, correlation, linear systems, game theory, signal detection theory, probability theory, information theory, and reinforcement learning. Applications to neural coding, focusing on the visual system are covered, as well as Hodgkin-Huxley and other related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission. Visit the Seung Lab Web site.
关 键 词: 神经编码; 动力学; 线性系统; 傅立叶分析
课程来源: 麻省理工大学公开课
最后编审: 2024-06-21:chenjy
阅读次数: 61