University of Cambridge > Talks.cam > Computational Neuroscience > Computational Neuroscience Course (4G3)

Computational Neuroscience Course (4G3)

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Dr Máté Lengyel.

4G3 course -- repeats Wednesdays at 12noon, Thursday at 2pm during Lent 2013

This is the computational neuroscience module taught by Máté Lengyel, Rich Turner, Daniel Wolpert (Engineering), and Simon Laughlin (Zoology). The main audience is 4th year (MEng) students in Engineering, PhD students, and others interested in learning about computational neuroscience.

The course demonstrates how mathematical analysis and ideas from engineering-related disciplines (dynamical systems, signal processing, machine learning, optimal control, and probabilistic inference) can be applied to gain insight into the workings of the nervous system. Knowledge of basic mathematical concepts is assumed.

Topics covered include neural coding, neural networks, plasticity, associative memory, efficient coding, supervised, unsupervised, and reinforcement learning, energy efficiency, and optimal control.

More details at:

http://tinyurl.com/cnscourse

This course is open to anyone wishing to attend, subject to space constraints.

This talk is part of the Computational Neuroscience series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2019 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity