Titlebook: Analysis of Neural Data; Robert E. Kass,Uri T. Eden,Emery N. Brown Book 2014 Springer Science+Business Media New York 2014 Data Analysis f

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Introduction,e, hear, feel, and understand the world around us? How can we learn intricate movements, which require continual corrections for minor variations in path? What is the basis of memory, and how do we allocate attention to particular tasks? Answering such questions is the grand ambition of this broad e

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Important Probability Distributions,al models introduce probability distributions to describe the variation due to noise, and thereby achieve quantitative expressions of knowledge about the signal—a process we will describe more fully in Chapters?. and ..

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Propagation of Uncertainty and the Bootstrap,dly applicable concepts that guide reasoning from data in diverse contexts. One of its foundations is the idea that data may be used to express knowledge and uncertainty about unknown values of model parameters, especially through confidence intervals.

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0172-7397 ta. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, .Analysis of Neural Data. serves as both a self-contained introduction and a reference work..978-1-4939-4078-3978-1-4614-9602-1Series ISSN 0172-7397 Series E-ISSN 2197-568X

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