Download PDF by Robert E. Kass, Uri T. Eden, Emery N. Brown: Analysis of Neural Data

By Robert E. Kass, Uri T. Eden, Emery N. Brown

ISBN-10: 1461496012

ISBN-13: 9781461496014

ISBN-10: 1461496020

ISBN-13: 9781461496021

Continual advancements in facts assortment and processing have had a huge effect on mind examine, generating info units which are usually huge and intricate. by means of emphasizing a number of basic rules, and a handful of ubiquitous options, Analysis of Neural Data offers a unified remedy of analytical tools that experience turn into crucial for modern researchers. through the e-book rules are illustrated with greater than a hundred examples drawn from the literature, starting from electrophysiology, to neuroimaging, to behaviour. via demonstrating the commonality between numerous statistical methods the authors give you the an important instruments for gaining wisdom from different varieties of info. geared toward experimentalists with basically high-school point arithmetic, in addition to computationally-oriented neuroscientists who've restricted familiarity with data, Analysis of Neural Data serves as either a self-contained creation and a reference work.

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Extra resources for Analysis of Neural Data

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The response within white matter serves as a control. The focus of stimulus-response experiments is usually the relationship between stimulus and response. This may suggest strategies for analysis of the data. 1) where the arrow indicates that X leads to Y . Chapters 12, 14, and 15 are devoted to regression methods, which are designed for situations in which X might lead to Y . 1, Y could be the average firing rate in a specified window of time, such as 200–600 ms following the cue, and X could represent the experimental condition.

See Bar-Gad et al. (2001) and Wood et al. ) The wise analyst will be aware of possible distortions that might arise before the data have been examined. 9 Data analytic techniques are rarely able to compensate for deficiencies in data collection. A common misconception is that flaws in experimental design, or data collection, can be fixed by statistical methods after the fact. It is true that an alternative data analytic technique may be able to be help avoid some presumed difficulty an analyst may face in trying to apply a particular method—especially when associated with a particular piece of software.

There are three reasons for putting a discussion of central tendency at the beginning. First, the use of a single representative value (such as the mean) to summarize a bunch of numbers is ubiquitous. Second, it is an excellent example of the process of data summary; data analysis as a whole may be considered a kind of generalization of this simple method. Third, the mean and median are both single-number summaries but they behave very differently. This last point, that it matters how a general data analytic idea (a singlenumber summary of central tendency) is defined (mean or median), has become ingrained into teaching about statistical reasoning.

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Analysis of Neural Data by Robert E. Kass, Uri T. Eden, Emery N. Brown


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