派博傳思國際中心

標題: 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 [打印本頁]

作者: TOUT    時間: 2025-3-21 18:05
書目名稱Analysis of Neural Data影響因子(影響力)




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作者: 配置    時間: 2025-3-21 22:37
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 ..
作者: convert    時間: 2025-3-22 02:17
,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.
作者: 領巾    時間: 2025-3-22 08:20

作者: 多產魚    時間: 2025-3-22 12:04
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.
作者: faddish    時間: 2025-3-22 14:22
Colin Jones,Mike Jenks,Glen BramleyData analysis involves both manipulation, via formulas and computations, and interpretation of the results. During the period immediately following World War II, particularly in the United States, statistical theory was consumed with the logic of statistical inference and decision-making. Against this backdrop, John Tukey revolted.
作者: 種子    時間: 2025-3-22 17:30
Venetia Brown,Sheila CunninghamProbability is a rich and beautiful subject, a discipline unto itself. Its origins were concerned primarily with games of chance, and many lectures on elementary probability theory still contain references to dice, playing cards, and coin flips. These lottery-style scenarios remain useful because they are evocative and easy to understand.
作者: 加劇    時間: 2025-3-23 00:19
,Einführung in die Dimensionsanalyse,In most experimental settings data are collected simultaneously on many variables, and the statistical modeling problem is to describe their . variation, meaning their tendency to vary together.
作者: CROAK    時間: 2025-3-23 04:42
Dimensionsanalyse und hardware-Modelle,One of the great ideas in data analysis is to base probability statements on large-sample approximations, which are often easy to obtain either analytically or numerically.
作者: 含糊    時間: 2025-3-23 06:01

作者: 暴發(fā)戶    時間: 2025-3-23 13:15

作者: cancer    時間: 2025-3-23 15:39
,Die Zusammenhangseigenschaften der R?ume,In Chapter?. we laid out the main ideas in assessing statistical significance. First, there is a null hypothesis; second, there is a statistic that defines some deviation away from a null model; third there is a .-value to judge the rarity of the observed deviation under the null hypothesis.
作者: 愚蠢人    時間: 2025-3-23 21:48

作者: 刀鋒    時間: 2025-3-23 22:23
https://doi.org/10.1007/978-3-658-35253-0Many experiments examine the effects of multiple experimental conditions. When each measured response from a subject is a single-number, the data are usually analyzed with. .
作者: tympanometry    時間: 2025-3-24 04:21

作者: 暴行    時間: 2025-3-24 09:23
Control of Luteinizing Hormone (LH)Few results are as consequential for data analysis as Bayes’ Theorem. The theorem itself, which we introduced in Sections?. and ., is a simple re-formulation of conditional probability and is easy to derive.
作者: 確定方向    時間: 2025-3-24 11:44
Control of Luteinizing Hormone (LH)Much of this book has been devoted to describing relationships among multiple noisy variables, yet we have until now managed to avoid a general discussion of multivariate co-variation.
作者: handle    時間: 2025-3-24 18:29

作者: 蛤肉    時間: 2025-3-24 21:05
Volkan Turan,Melis Bozan,Gurkan BozdagAt the beginning of this book, in Example?1.1 (p. 3), we described the activity of a neuron recorded from the supplementary eye field. Interpreting Fig.?. we said that, toward the end of each trial, the neuron fired more rapidly under one experimental condition than under the other.
作者: 貝雷帽    時間: 2025-3-25 01:04
Exploring Data,Data analysis involves both manipulation, via formulas and computations, and interpretation of the results. During the period immediately following World War II, particularly in the United States, statistical theory was consumed with the logic of statistical inference and decision-making. Against this backdrop, John Tukey revolted.
作者: 惡名聲    時間: 2025-3-25 05:28

作者: 得意人    時間: 2025-3-25 09:09

作者: MANIA    時間: 2025-3-25 14:30
Sequences of Random Variables,One of the great ideas in data analysis is to base probability statements on large-sample approximations, which are often easy to obtain either analytically or numerically.
作者: 施舍    時間: 2025-3-25 19:30

作者: 凹槽    時間: 2025-3-25 20:29
Models, Hypotheses, and Statistical Significance,The notion of. is fundamental to science. Typically it refers to an idea that might plausibly be true, and that is to be examined or “tested” with some experimental data. Sometimes, the expectation is that the data will conform to the hypothesis. In other situations, the hypothesis is introduced with the goal of refuting it.
作者: BIBLE    時間: 2025-3-26 03:40

作者: circumvent    時間: 2025-3-26 07:46

作者: Jogging    時間: 2025-3-26 09:30

作者: 消滅    時間: 2025-3-26 14:06

作者: 慢慢流出    時間: 2025-3-26 17:02

作者: dapper    時間: 2025-3-27 00:13

作者: STANT    時間: 2025-3-27 01:58
Time Series,In the analysis of neural data, time is important. We experience life as evolving, and neurophysiological investigations focus increasingly on dynamic features of brain activity.
作者: GONG    時間: 2025-3-27 06:38
Point Processes,At the beginning of this book, in Example?1.1 (p. 3), we described the activity of a neuron recorded from the supplementary eye field. Interpreting Fig.?. we said that, toward the end of each trial, the neuron fired more rapidly under one experimental condition than under the other.
作者: floaters    時間: 2025-3-27 12:52

作者: 冷淡周邊    時間: 2025-3-27 17:39
Estimation in Theory and Practice, 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.
作者: 繁重    時間: 2025-3-27 19:25

作者: Indigence    時間: 2025-3-28 00:58

作者: 細胞膜    時間: 2025-3-28 03:02
https://doi.org/10.1007/978-1-4614-9602-1Data Analysis for Neuroscience; Mathematics for Neuroscience; Neuroscience Data; Statistical Models Bra
作者: cuticle    時間: 2025-3-28 06:45

作者: 乳白光    時間: 2025-3-28 13:07
Robert E. Kass,Uri T. Eden,Emery N. BrownProvides a unified treatment of analytical methods that have become essential for contemporary researchers.Examples drawn from the literature are included throughout this text, ranging from electrophy
作者: strdulate    時間: 2025-3-28 17:35

作者: 切割    時間: 2025-3-28 19:40
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
作者: 600    時間: 2025-3-28 23:03
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 ..
作者: lanugo    時間: 2025-3-29 04:37
,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.
作者: Cacophonous    時間: 2025-3-29 09:51
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.
作者: LAITY    時間: 2025-3-29 13:34
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.
作者: EXTOL    時間: 2025-3-29 19:31
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
作者: CORD    時間: 2025-3-29 20:58
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.
作者: 種類    時間: 2025-3-30 02:07

作者: Biomarker    時間: 2025-3-30 04:49
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..
作者: 減弱不好    時間: 2025-3-30 11:32

作者: prodrome    時間: 2025-3-30 13:20
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
作者: Needlework    時間: 2025-3-30 19:09
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 ..
作者: 標準    時間: 2025-3-30 21:56

作者: 水槽    時間: 2025-3-31 01:55
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.
作者: forthy    時間: 2025-3-31 09:03

作者: 陳腐的人    時間: 2025-3-31 13:14
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
作者: 最高點    時間: 2025-3-31 14:28
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