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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Keith Baker,Kevin J. Lomas,Mark Rylatte, 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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Dimensionsanalyse in der Str?mungslehreal 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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,Effizienz der Π-Theorem Methodik, of maximum likelihood provides a better solution. How do we know this? In general, how should alternative methods of estimation be compared? In this chapter we lay out a series of principles that serve as guides to practice.

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https://doi.org/10.1007/978-3-658-05412-0dly 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.

LAITY

https://doi.org/10.1007/978-3-658-20807-3 has an obvious limitation: it assumes the predictive relationship is, on average, linear. In addition, in its standard form it assumes that the noise contributions are homogeneous and follow, roughly, a normal distribution.

EXTOL

0172-7397 e are included throughout this text, ranging from electrophy.Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous technique

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Keith Baker,Kevin J. Lomas,Mark Rylattnterprise and, while the workings of the nervous system are immensely complicated, several lines of now-classical research have made enormous progress: essential features of the nature of the action potential, of synaptic transmission, of sensory processing, of the biochemical basis of memory, and of motor control have been discovered.

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Biomarker

Book 2014thematics, 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..