標(biāo)題: Titlebook: Advanced Data Analysis in Neuroscience; Integrating Statisti Daniel Durstewitz Textbook 2017 Springer International Publishing AG 2017 stat [打印本頁(yè)] 作者: ominous 時(shí)間: 2025-3-21 16:55
書目名稱Advanced Data Analysis in Neuroscience影響因子(影響力)
書目名稱Advanced Data Analysis in Neuroscience影響因子(影響力)學(xué)科排名
書目名稱Advanced Data Analysis in Neuroscience網(wǎng)絡(luò)公開度
書目名稱Advanced Data Analysis in Neuroscience網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advanced Data Analysis in Neuroscience被引頻次
書目名稱Advanced Data Analysis in Neuroscience被引頻次學(xué)科排名
書目名稱Advanced Data Analysis in Neuroscience年度引用
書目名稱Advanced Data Analysis in Neuroscience年度引用學(xué)科排名
書目名稱Advanced Data Analysis in Neuroscience讀者反饋
書目名稱Advanced Data Analysis in Neuroscience讀者反饋學(xué)科排名
作者: 鉗子 時(shí)間: 2025-3-21 23:28 作者: FILLY 時(shí)間: 2025-3-22 03:27
Classification Problems,rsonal financial planning process by teaching readers how to.Implementing a financial plan to manage the future is very important. If you have not assembled such a plan, or even if you have not thought about how best to manage your financial future, the time to do so is now, and the resource you nee作者: 直覺好 時(shí)間: 2025-3-22 05:02
Model Complexity and Selection, accumulated wealth.Covers all the financial bases you can r.Get your financial life in order. This comprehensive and objective guidebook will help you grow your net worth on a steady and increasing basis, regardless of your income level..This new and expanded edition covers changes and strategies t作者: Torrid 時(shí)間: 2025-3-22 10:10 作者: PURG 時(shí)間: 2025-3-22 13:08
Dimensionality Reduction,arn how to improve your company’s cash flow, better manage y.More than half of all businesses in the U.S. don’t make it to their fifth birthday, and nearly 70 percent are gone by year ten. How do businesses get into trouble? A hundred different ways. Poor cash flow, undercapitalization, lax financia作者: 讓空氣進(jìn)入 時(shí)間: 2025-3-22 17:19 作者: Blatant 時(shí)間: 2025-3-22 23:37
Time Series from a Nonlinear Dynamical Systems Perspective, basic component of integrated circuits, the Metal Oxide Semiconductor Field Effect Transistor (MOSFET), together with the dimension downscaling of interconnects..While the 45 nm technology node is entering in production, the scaling of MOS-FETs to the 22 nm technology node and beyond is anticipated作者: FLIP 時(shí)間: 2025-3-23 04:36
Back Matters-UC for over fifteen years. Directed primarily to electrical engineering upperclassmen and graduate students, the material also has been used successfully by graduate students in physics and ceramic and metallurgical engineering. It is suitable for self-study by engineers trained in other disciplin作者: concise 時(shí)間: 2025-3-23 07:46
Daniel DurstewitzDesigned for use as a textbook in statistics for students from the neuro- and biosciences.Integrates statistical analysis with a dynamical systems perspective and computational modeling.Reviews almost作者: Atheroma 時(shí)間: 2025-3-23 10:39
Bernstein Series in Computational Neurosciencehttp://image.papertrans.cn/a/image/145468.jpg作者: 數(shù)量 時(shí)間: 2025-3-23 15:02
https://doi.org/10.1007/978-3-662-40106-4In classification problems, the objective is to classify observations into a set of . discrete classes .∈{1….}. To these ends, one often tries to estimate or approximate the posterior probabilities .(.|.)?≡?.(.?=?.|.). Given these, one could classify new observations . into the class .. for which we have作者: 多嘴 時(shí)間: 2025-3-23 18:53 作者: FID 時(shí)間: 2025-3-23 23:33
https://doi.org/10.1007/978-3-319-59976-2statistical methods in neuroscience; neural time series; multivariate statistics; machine learning; stat作者: 皺痕 時(shí)間: 2025-3-24 03:07
978-3-319-86750-2Springer International Publishing AG 2017作者: CHIDE 時(shí)間: 2025-3-24 08:49
,Kommentar und Schlu?folgerungen,general principles and mathematical techniques for handling these. In this sense it will lay out some of the ground on which statistical methods developed in later chapters rest. It is assumed that the reader is basically familiar with core concepts in probability theory and statistics, such as expe作者: LUDE 時(shí)間: 2025-3-24 13:27
,Kommentar und Schlu?folgerungen,ues are minimized (a so-called squared error loss function, see Eq. .). Then the regression function which optimally achieves this is given by .(.)?=?.(.|.) (Winer 1971; Bishop 2006; Hastie et al. 2009), that is the goal in regression is to model the conditional expectancy of . (the “outputs” or “re作者: Airtight 時(shí)間: 2025-3-24 14:58
https://doi.org/10.1007/978-3-662-40106-4 in statistical model fitting or parameter estimation: We usually only have available a comparatively small sample from a much larger population, but we really want to make statements about the population as a whole. Now, if we choose a sufficiently flexible model, e.g., a local or spline regression作者: Inflamed 時(shí)間: 2025-3-24 20:27 作者: 提名 時(shí)間: 2025-3-25 03:10 作者: 分開 時(shí)間: 2025-3-25 04:56 作者: Tempor 時(shí)間: 2025-3-25 08:17
https://doi.org/10.1007/978-3-642-94454-3xample is the very essence of neural communication itself, the action potential, which is generated by the strongly nonlinear feedbacks between sodium and potassium channel gating and membrane potential (or interactions among channels themselves; Naundorf et al. 2006). Stable oscillations as frequen作者: emission 時(shí)間: 2025-3-25 15:04
https://doi.org/10.1007/978-3-662-40102-6mendously important for our theoretical understanding of brain function and time series phenomena that I felt a book on statistical methods in neuroscience should not go without discussing at least some of its core concepts. Having some grasp of nonlinear dynamical systems may give important insight作者: Baffle 時(shí)間: 2025-3-25 17:33 作者: 種類 時(shí)間: 2025-3-25 23:14 作者: PAEAN 時(shí)間: 2025-3-26 02:37 作者: 禮節(jié) 時(shí)間: 2025-3-26 07:33
Back Mattermore advanced treatments, to computer programs such as SUPREM that include higher order effects, and to interactions among sequential processes. In Chapters 8, 9, and to, the application of silicon processes to compound semiconductors is discussed briefly. Over the past several years, the size of transistors 978-94-010-6682-2978-94-009-0441-5作者: Gingivitis 時(shí)間: 2025-3-26 11:53 作者: 猛擊 時(shí)間: 2025-3-26 15:55 作者: Mawkish 時(shí)間: 2025-3-26 17:00
Clustering and Density Estimation,nformation.?Have questions about what your estate plan should say? Part 3, Planning Guides, goes through an attorney’s analysis in considering the most frequently asked estate planning questions.?Thinking about978-1-4302-4494-3978-1-4302-4495-0作者: Mendacious 時(shí)間: 2025-3-27 00:02 作者: 陰郁 時(shí)間: 2025-3-27 04:54
Time Series from a Nonlinear Dynamical Systems Perspective, regions in order to benefit from the intrinsic device performance. In a longer term, quasi-ballistic operation with enhanced carrier injection velocity at the channel entrance appears to be needed to achieve the required drive current of highly scaled transistors.作者: Ventilator 時(shí)間: 2025-3-27 07:48
2520-159X y frameworks, but become powerful, quantitative data-analytical tools in themselves that enable researchers to look beyond the data surface and unravel underlying mechanisms. Interactive examples of most method978-3-319-86750-2978-3-319-59976-2Series ISSN 2520-159X Series E-ISSN 2520-1603 作者: ALT 時(shí)間: 2025-3-27 11:57 作者: 媒介 時(shí)間: 2025-3-27 15:58 作者: iodides 時(shí)間: 2025-3-27 20:21
,Kommentar und Schlu?folgerungen,). Had we also measured more than one output variable, e.g., several movement parameters like angle, velocity, and acceleration, which we would like to set in relation to the firing rates of the . recorded neurons, we would get into the domain of ..作者: 矛盾 時(shí)間: 2025-3-28 00:10 作者: Enrage 時(shí)間: 2025-3-28 04:15
https://doi.org/10.1007/978-3-0348-6803-7are not arranged along a continuum but come from discrete categories (as possibly indicative of an attractor dynamics, see Chap. .), or when rodents appear to utilize a discrete set of behavioral patterns or response strategies. In many such circumstances, we may feel that similarities between obser作者: 鈍劍 時(shí)間: 2025-3-28 07:59 作者: paleolithic 時(shí)間: 2025-3-28 13:24 作者: Capitulate 時(shí)間: 2025-3-28 17:36
https://doi.org/10.1007/978-3-662-40102-6 only exhibit a limited repertoire of dynamical behaviors and typically do not capture a number of prominent and computationally important phenomena observed in physiological recordings. In the following, we will distinguish between models that are defined in discrete time (Sect. 9.1), as all the ti
