[Neuro] computational neuroscience course on coursera

Sam Tepper sam.tepper at gmail.com
Thu Jan 9 21:52:35 UTC 2014

This looks fun.  I need a refresher, and probably will learn a good
deal.  FWIW, I can offer some help to people, though I imagine the math
i'm solid with is probably not much better than the minimum.  Thanks for
sharing the link and making yourself available, Mike!

On 01/09/2014 02:29 PM, John Hurliman wrote:
> I completed the previous session of Computational Neuroscience and
> highly recommend it, from the perspective of both a beginning student
> of ML and a general interest in the brain. My previous disclaimer
> still applies:
> "I took this class in the summer and highly recommend it to anyone
> who's interested. My only critique is that the requirements
> ("Familiarity with basic concepts in linear algebra, calculus, and
> probability theory.") are slightly understated. You can get through
> the class with that level of knowledge, but a lot of the math in the
> second half of the course will be somewhat opaque without an
> understanding of differential equations."
> With Mike offering assistance though, any math knowledge gaps could
> easily be overcome.
> On Thu, Jan 9, 2014 at 11:09 AM, Mike Schachter <cubicgoats at gmail.com
> <mailto:cubicgoats at gmail.com>> wrote:
>     Hey everyone, there is a potentially awesome Computational
>     Neuroscience course starting up on Coursera tomorrow:
>     https://www.coursera.org/course/compneuro
>     Computational Neursocience seeks to understand how and what the
>     brain computes. In my opinion, Computational Neuroscience and
>     Machine Learning are deeply related and will forever be so. For
>     example, Artificial Neural Networks were inspired by electrical
>     recordings of neurons. Stimulus encoding and decoding methods in
>     Neuroscience are simply statistical regression applied to neural data.
>     As a Computational Neuroscientst, I feel obligated to help out -
>     so if anyone takes the initiative to start up a study group for
>     this course, I'll do what I can to be a teacher's assistant and
>     help with homeworks and topics, whether on the mailing list or at
>     Noisebridge.
>      mike
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