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xcorr: comp neuro | machine learning, data analysis, computational neuroscience, vision, stats, matlab, python

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xcorr: comp neuro | machine learning, data analysis, computational neuroscience, vision, stats, matlab, python | xcorr.net Reviews

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machine learning, data analysis, computational neuroscience, vision, stats, matlab, python

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Recommendation engines for scientific papers – xcorr: comp neuro

http://xcorr.net/2014/02/20/evaluating-recommendation-engines-for-scientific-papers

Computational neuroscience, machine learning. Recommendation engines for scientific papers. February 20, 2014. April 2, 2014. Updated Feb 24th, with new info on PubChase. Netflix tells you what movies you should watch, Twitter tells you who to follow, and okcupid tells you who you should be dating. Wouldn’t it be nice if you knew what scientific papers you should be reading? Despite the well-understood theory behind recommendation. Scores are based on:. How close are we to understanding v1? Dimensionalit...

2

What’s the maximal frame rate humans can perceive? – xcorr: comp neuro

http://xcorr.net/2011/11/20/whats-the-maximal-frame-rate-humans-can-perceive

Computational neuroscience, machine learning. What’s the maximal frame rate humans can perceive? November 20, 2011. June 23, 2016. Gamers care a lot about framerate. You will find endless threads. On the internet where people argue that 60 (or even 120! Frames per second is better than 30, and any game that performs below that threshold is sacrilege. Favorite game of all time. That slowdown though. Why is 24 fps good enough for cinema, but the Oculus Rift need 90? Let’s look at them in turn. It’s a...

3

Be like Mike: Michael Jordan’s reading list – xcorr: comp neuro

http://xcorr.net/2015/02/24/be-like-mike-michael-jordans-reading-list

Computational neuroscience, machine learning. Be like Mike: Michael Jordan’s reading list. February 24, 2015. February 23, 2015. Not this Michael Jordan. There’s a machine learning reading list by Michael Jordan that’s been floating around on Hacker News. For a few years, and in a recent AMA. He added a few more. Full list:. Casella, G. and Berger, R.L. (2001). “ Statistical Inference. 8221; Duxbury Press. Ferguson, T. (1996). “ A Course in Large Sample Theory”. 8221; Chapman and Hall/CRC. B Efron. &...

4

Adagrad – eliminating learning rates in stochastic gradient descent – xcorr: comp neuro

http://xcorr.net/2014/01/23/adagrad-eliminating-learning-rates-in-stochastic-gradient-descent

Computational neuroscience, machine learning. Adagrad – eliminating learning rates in stochastic gradient descent. January 23, 2014. Earlier, I discussed. How I had no luck using second-order optimization methods on a convolutional neural net fitting problem, and some of the reasons why stochastic gradient descent works well on this class of problems. Learning rates within the context of stochastic gradient descent. Master stepsize = 1e-2 #for example. Fudge factor = 1e-6 #for numerical stability. Empiri...

5

Fast 1D and 2D data binning in Matlab – xcorr: comp neuro

http://xcorr.net/2013/12/23/fast-1d-and-2d-data-binning-in-matlab

Computational neuroscience, machine learning. Fast 1D and 2D data binning in Matlab. December 23, 2013. I needed a fast method of binning 1D and 2D data in Matlab – that is, to compute the mean of z conditional on x being in a given range (1d binning) or the mean z of conditional on x and y being in given ranges (2d binning). I stumbled upon this very clever method. And for the 2d case:. P=3326 % http:/ www-pord.ucsd.edu/ matlab/bin.htm [ ,whichedge1] = histc(x1,x1rg(:)'); [ ,whichedge2] = hi...This take...

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My Academic Lineage | Ari Weinstein's Research

https://aresearch.wordpress.com/my-academic-lineage

Ari Weinstein's Research. The below list goes through Nils John Nilsson. The other line from Leslie Kaelbling goes through Stanley Rosenschein, who does not have lineage represented in the mathematics genaelogy project. Some sleuthing seems to indicate that Stanley Rosenschein - Aravind Joshi -Zellig Harris; from him the database picks back up. Notable ancestors through this line are Leibniz. Investigating my academic lineage. My thesis advisor is Michael L. Littman. Also, there is Friedrich Leibniz, who...

trailofpapers.net trailofpapers.net

...And You Will Know Me By The Trail of Papers: January 2015

http://www.trailofpapers.net/2015_01_01_archive.html

And You Will Know Me By The Trail of Papers. Thursday, January 29, 2015. OR: A fun game for every surgery! If you're interested in any of the important parts of the brain (i.e. not cortex), you're going to need do to stereotaxic surgery to target the area you're interested in. And to do stereotaxic surgery, you need fiducial coordinates on the skull, which canonically are bregma and lambda. Now that you know the actual definitions of bregma and lambda, you can impress your professors at happy hour, and d...

trailofpapers.net trailofpapers.net

...And You Will Know Me By The Trail of Papers: The catch-22 of recording from identified cell populations

http://www.trailofpapers.net/2015/06/the-catch-22-of-recording-from.html

And You Will Know Me By The Trail of Papers. Thursday, June 11, 2015. The catch-22 of recording from identified cell populations. Recording from individual cells in genetically identified populations is the. A cool form of short-term plasticity (Yang, ., Sternson, 2011); and imaging has shown that these neurons undergo rapid spinogenesis. Given that basic model, there were many unanswered questions. How fast do AgRP neurons turn on and off? What rate do they fire at? Expressing GCaMP6s. (Chen, .,...Mice ...

trailofpapers.net trailofpapers.net

...And You Will Know Me By The Trail of Papers: Paper trail day trip: Genomic systems neuroscience

http://www.trailofpapers.net/2012/04/paper-trail-day-trip-genomic-systems.html

And You Will Know Me By The Trail of Papers. Monday, April 2, 2012. Paper trail day trip: Genomic systems neuroscience. Looked at the relationship between feeding behaviour and taste receptors by sequencing the genes for taste receptors in a variety of species. The Tas1r2 gene for seven animals has been disrupted. *s denote points where the ORF has been ruined. (Below) The coding sequence of two of these mutations. The two key parts to a genomic analysis (to me as an outsider) are having genes with diver...

trailofpapers.net trailofpapers.net

...And You Will Know Me By The Trail of Papers: The (Near) Future of Cell Type Specificity

http://www.trailofpapers.net/2015/01/the-near-future-of-cell-type-specificity.html

And You Will Know Me By The Trail of Papers. Thursday, January 8, 2015. The (Near) Future of Cell Type Specificity. If you miss the days of scientific tables, I suggest you check out the supplement of any genomics paper. So how can genomics be useful for neuroscience? So today I'd like to write about what cell specificity is, review two papers on single neuron transcriptomics, and the implications that this has on how systems neuroscience looks at cell-specific circuits. What is a cell type? Haubensak et...

trailofpapers.net trailofpapers.net

...And You Will Know Me By The Trail of Papers: Where's Bregma?

http://www.trailofpapers.net/2015/01/wheres-bregma.html

And You Will Know Me By The Trail of Papers. Thursday, January 29, 2015. OR: A fun game for every surgery! If you're interested in any of the important parts of the brain (i.e. not cortex), you're going to need do to stereotaxic surgery to target the area you're interested in. And to do stereotaxic surgery, you need fiducial coordinates on the skull, which canonically are bregma and lambda. Now that you know the actual definitions of bregma and lambda, you can impress your professors at happy hour, and d...

aresearch.wordpress.com aresearch.wordpress.com

On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning. Hoffman, Shahriari, Freitas. AISTATS 2014. | Ari Weinstein's Research

https://aresearch.wordpress.com/2015/07/08/on-correlation-and-budget-constraints-in-model-based-bandit-optimization-with-application-to-automatic-machine-learning-hoffman-shahriari-freitas-aistats-2014

Ari Weinstein's Research. On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning. Hoffman, Shahriari, Freitas. AISTATS 2014. Consider noisy optimization with finite samples not yet clear if this is budget is imposed by the actor or the environment. Applications include parameter selection for machine learning tasks. A number of different criteria can be used in Bayesian land to select where to sample: “probability of improvement (PI),...

trailofpapers.net trailofpapers.net

...And You Will Know Me By The Trail of Papers: November 2014

http://www.trailofpapers.net/2014_11_01_archive.html

And You Will Know Me By The Trail of Papers. Thursday, November 20, 2014. Deciphering the syntax of Nature article titles. We all want to publish in Nature. Papers in Nature are (supposed to be) the complete package: reliable results that show something novel; cool techniques; a famous corresponding author. And if you want to get one, you need a title that shows you are a refined gentleperson who belongs in the Nature club. Research-y verb-ing] a neural circuit for [behaviour]. Under NO CIRCUMSTANCES are...

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xcorr: comp neuro | machine learning, data analysis, computational neuroscience, vision, stats, matlab, python

Machine learning, data analysis, computational neuroscience, vision, stats, matlab, python. Xcorr is the blog of Dr. Patrick Mineault. I'm a postdoc at the Ringach lab at UCLA. Studying vision. I did my PhD at the Pack lab. McGill University. My CV is here. Calling R from Matlab – flat file communication. Bayesian mixed effects model to estimate experimental parameters. Scientific Python in the browser: ipython notebook. Evaluating IDEs for scientific Python. Fast 1D and 2D data binning in Matlab. In add...

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