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Taking the mean of angles
Stylianos Papaioannou sent me an email asking how to take the mean of several angles. These angles are actually phases derived from a Hilbert transform. So let’s say that you have a vector of angles x where the values are between 0 and 2pi. It’s not possible to take mean(x) as the mean of the
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Learning about GLMs and GAMs in neuroscience
During my lecture on Wednesday, a few students asked me where they could learn more about generalized linear and additive models (GLMs and GAMs) and their applications to systems identification in neuroscience. Unfortunately, there are few textbooks in computational neuroscience, and most cover systems identification to some degree, most notably Marmarelis’ latest. To the best
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Lecture slides on Generalized Linear and Additive models
I gave a lecture yesterday as part of Chris’ computational neuroscience class on generalized linear and additive models (GLMs and GAMs) and their application to neuroscience. A lot of the people in the class have little to no background in stats so I kept it very basic. I also have exercises involving the estimation of a
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Entropy and the science news cycle
So the MNI press office picked up our recent PNAS article: And turned it into this: Which isn’t that bad, all things considered. Then it got picked up by the Toronto Sun (a trashy tabloid): For the record, I do not look like the lady in the picture. I would like to have one of
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Using a particle filter to decode place cells
In the last post, I discussed using an extended Kalman filter to decode place cells, based on the algorithm published in Brown et al. (1998). The results looked pretty good. EKFs are certainly better than population vector approaches that don’t consider the sequential nature of the decoding task. The fact that the path of the
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Using an iterated extended Kalman filter to decode place cells
Decoding neuronal activity is a powerful technique to study how information is encoded in a population and how it might be extracted by other brains areas. Hippocampal place cells are a prime example of a system that can be studied fruitfully from a decoding persepective. In a typical place cell decoding experiment, a population of
xcorr: AI & neuro 