Inferring cellular networks using probabilistic graphical models
This week’s Science has a nice introductory article (but with some mathematical detail) on using probabilistic graphical models to model cellular networks. Even for those of you who already know the...
View ArticlePrediction vs. postdiction in self-movement
PLoS Biology: Attenuation of Self-Generated Tactile Sensations Is Predictive, not Postdictive [open access] I haven’t gotten a chance to fully digest this article (What is the attenuation phenomena...
View ArticleUncertainty, Neuromodulation, and Attention
Neuron : Uncertainty, Neuromodulation, and Attention Haven’t read this article from Peter Dayan’s lab yet but some interesting Bayesian modeling implicating acetylcholine as a signal of expected...
View ArticleHelp Please: Future of Neural Engineering: From Job perspective
Dear Members, I am a prospective graduate student interested in taking up Neural Engineering under EE or Biomedical Engg for research. But I have a lot of concerns and need help from a person who knows...
View ArticleVS Ramachandran's TED Talk
Although I’ve been a longtime fan of Ramachandran’s excellent book Phantoms in the Brain, this TED talk is like a compressed summary of the highlight’s of his research. He’s a great speaker and he...
View ArticleBayesian truth serum
Neville told me about this neat article from ’04. It presents a way to offer rewards to people taking a poll in such a way so as to motivate them to be honest, with no prior information about what the...
View ArticleStochastic computing
One method of computing is to require that all numbers be real values between 0 and 1, and then instead of encoding these numbers into bit streams using binary, represent them with a long stream of...
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