K-Hole page = random things (enter at the risk of your productivity...)
posted on January 20, 2016

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As in every office, we occasionally send links around. Sometimes those links end up on this page – there’s no rhyme or reason why they do or don’t, really… Anyway, you’re about to waste a fair bit of time if you seriously scroll down. Enjoy!

• Test your brain smarts at this brain quiz: http://www.purposegames.com/game/brain-anatomy-quiz. There are other geography games on that site that are also interesting.
• Whose views most mirror yours? http://www.isidewith.com might be interesting to you…
• Mariano Rivera — bimodal pitching
• The WEIRD Bias
• 300 actions-per-minute in Starcraft
• Double Vision: Parsing Images That Trick Our Brain
• 3min documentary on infant motor learning and rehab
• Quantum Pseudo-Telepathy in game theory
• Scratch-Input
• David Mackay’s new book on energy consumption is also available for Free! online
• Banjo used in brain surgery
• List of animals by number of neurons
• PDF Stock Market Behavior Predicted by Rat Neurons. TC Marzullo, EG Rantze, and GJ Gage. Annals of Improbable Research (2006). Synergies, Bah: http://www.youtube.com/watch?v=5GNzBFnUAdo
• Putt Probabilities
• Bio-motion Demo
• Two-envelope paradox
• Monty Hall problem applied to psychology
• Context-Free Grammar for Generating Papers
• High Dynamic Range Pictures
• Wii-Projects
• Collective attention (using data from digg)
• Que? : http://scienceblogs.com/cognitivedaily/2007/10/can_you_use_the_force_to_find.php
• Here’s a cool visual illusion
• from some random guy at UCL: http://www.cs.ucl.ac.uk/staff/d.quercia/
• Savant-like numerosity skills revealed in normal people by magnetic pulses. Snyder, A. and Bahramali, H. and Hawker, T. and Mitchell. Perception (2006).

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Learn Something

• Watch Konrad give a lecture.
• Scholarpedia - Encyclopedia of Computational Neuroscience
• Scholarpedia - Encyclopedia of Computational Intelligence (Stats and ML) Computational Neuroscience on the World Wide Web
• Andrew Moore’s Tutorials on ML and Data Mining
• Robbie Jacob’s Cheat Sheets
• Tom Griffith’s Bayesian Reading List
• Liam Paninski’s Statistical Analysis of Neural Data course page
• Zoubin Ghahramani’s Unsupervised Learning course page
• Tom Minka’s Statistical Learning/Pattern Recognition Glossary

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Books

• MacKay - Information Theory, Inference, and Learning Algorithms
• Bishop - Pattern Recognition and Machine Learning
• Dayan and Abbott - Theoretical Neuroscience
• Gerstner and Kistler - Spiking Neuron Models

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Blogs

• Radford Neal’s Blog
• Andrew Gelman’s Blog - Statistical Modeling, Causal Inference, and Social Science
• John Langford’s Blog - Machine Learning Theory
• NLPers - Natural Language Processing Blog
• MindHacks - Neuroscience Blog

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Software (for Matlab)

• CVX - convex programming
• fastICA
• Isomap - nonlinear dimensionality reduction
• Iain Murray’s Matlab tips and tricks

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Datasets

• Sam Roweis’ Datasets - MNIST, faces, and text
• CHILDES - transcripts and media from children
• TalkBank - transcripts and media from adults
• UCI - ML repository
• Wikipedia - Classic Datasets

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Rand

• Classic Papers in Vision