標(biāo)題: Titlebook: Directed Information Measures in Neuroscience; Michael Wibral,Raul Vicente,Joseph T. Lizier Book 2014 Springer-Verlag Berlin Heidelberg 20 [打印本頁(yè)] 作者: 涌出 時(shí)間: 2025-3-21 19:05
書目名稱Directed Information Measures in Neuroscience影響因子(影響力)
書目名稱Directed Information Measures in Neuroscience影響因子(影響力)學(xué)科排名
書目名稱Directed Information Measures in Neuroscience網(wǎng)絡(luò)公開度
書目名稱Directed Information Measures in Neuroscience網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Directed Information Measures in Neuroscience被引頻次
書目名稱Directed Information Measures in Neuroscience被引頻次學(xué)科排名
書目名稱Directed Information Measures in Neuroscience年度引用
書目名稱Directed Information Measures in Neuroscience年度引用學(xué)科排名
書目名稱Directed Information Measures in Neuroscience讀者反饋
書目名稱Directed Information Measures in Neuroscience讀者反饋學(xué)科排名
作者: 改正 時(shí)間: 2025-3-21 20:26 作者: abracadabra 時(shí)間: 2025-3-22 04:21 作者: seruting 時(shí)間: 2025-3-22 07:31
Information Transfer in the Brain: Insights from a Unified Approachseveral methods. In this chapter we propose some approaches rooted in this framework for the analysis of neuroimaging data. First we will explore how the transfer of information depends on the network structure, showing how for hierarchical networks the information flow pattern is characterized by e作者: DRAFT 時(shí)間: 2025-3-22 11:18
Function Follows Dynamics: State-Dependency of Directed Functional Influences causal influences between neural populations (described by the so-called .)must be reconfigurable even when the underlying structural connectivity is fixed. Such influences can be quantified through causal analysis of time-series of neural activity with tools like Transfer Entropy. But how can mani作者: 下級(jí) 時(shí)間: 2025-3-22 16:02 作者: 下級(jí) 時(shí)間: 2025-3-22 19:20
Measuring the Dynamics of Information Processing on a Local Scale in Time and Spacet the local dynamics of such information processing in space and time can be measured. In this chapter, we review the mathematics of how to measure local entropy and mutual information values at specific observations of time-series processes.We then review how these techniques are used to construct 作者: Ambulatory 時(shí)間: 2025-3-22 22:55
Parametric and Non-parametric Criteria for Causal Inference from Time-Seriesn from electrophysiological recordings. This criterion underlies the classical parametric implementation in terms of linear autoregressive processes as well as Transfer entropy, i.e. a non-parametric implementation in the framework of information theory. In the spectral domain, partial directed cohe作者: Apoptosis 時(shí)間: 2025-3-23 02:12
Einführung in das Vergütungsrechtby a variety of directed informationmeasures of which transfer entropy is themost popular, andmost principled one. This chapter presents the basic concepts behind transfer entropy in an intuitive fashion, including graphical depictions of the key concepts. It also includes a special section devoted 作者: Pamphlet 時(shí)間: 2025-3-23 07:24 作者: 問到了燒瓶 時(shí)間: 2025-3-23 09:54
https://doi.org/10.37307/b.978-3-503-20937-8). First, we revisit some basic concepts of information dynamics, providing definitions of self entropy (SE), cross entropy (CE) and transfer entropy (TE) as measures of information storage and transfer in bivariate systems. We discuss also the generalization to multivariate systems, showing the imp作者: 六邊形 時(shí)間: 2025-3-23 16:16 作者: 桶去微染 時(shí)間: 2025-3-23 19:56 作者: 矛盾心理 時(shí)間: 2025-3-24 00:00
Kognitive Intervention bei Alzheimer-Demenzfestation of coupled nonlinear systems with time delays in coupling. From the empirical point of view, to understand how the information is processed in the brain, there is a need to characterize the information flow in a network of spatially distinct brain areas. Tools for reconstructing the direct作者: scotoma 時(shí)間: 2025-3-24 03:22 作者: 冰河期 時(shí)間: 2025-3-24 08:26
https://doi.org/10.1007/978-3-662-50343-0n from electrophysiological recordings. This criterion underlies the classical parametric implementation in terms of linear autoregressive processes as well as Transfer entropy, i.e. a non-parametric implementation in the framework of information theory. In the spectral domain, partial directed cohe作者: ADOPT 時(shí)間: 2025-3-24 14:46
Directed Information Measures in Neuroscience978-3-642-54474-3Series ISSN 1860-0832 Series E-ISSN 1860-0840 作者: 館長(zhǎng) 時(shí)間: 2025-3-24 17:28 作者: AGOG 時(shí)間: 2025-3-24 22:07 作者: 草率女 時(shí)間: 2025-3-24 23:48 作者: libertine 時(shí)間: 2025-3-25 04:37
978-3-662-52257-8Springer-Verlag Berlin Heidelberg 2014作者: Conjuction 時(shí)間: 2025-3-25 07:29
Book 2014 the brain‘s slowly-changing anatomical connectivity. Measuring such transfer is crucial to understanding how flexible information routing and processing give rise to higher cognitive function. .Directed Information Measures in Neuroscience. reviews recent developments of concepts and tools for meas作者: 遺忘 時(shí)間: 2025-3-25 12:38
Sinngem??e Anwendung der Verordnungal estimation of information theoretic functionals.We will describe step by step the efficient estimation of transfer entropy for a typical electrophysiology data set, and how the multi-trial structure of such data sets can be used to partially alleviate the problem of non-stationarity.作者: 眉毛 時(shí)間: 2025-3-25 17:59 作者: Intersect 時(shí)間: 2025-3-25 23:25 作者: 他去就結(jié)束 時(shí)間: 2025-3-26 00:45
Parametric and Non-parametric Criteria for Causal Inference from Time-Series to test them. We compare the different criteria for causal inference from timeseries and we further introduce new criteria that complete a unified picture of how the different approaches are related. Furthermore, we compare the different measures that implement these criteria in the information theory framework.作者: 直覺好 時(shí)間: 2025-3-26 07:29
1860-0832 th the state-of-the-art concepts and tools for measuring inf.Analysis of information transfer has found rapid adoption in neuroscience, where a highly dynamic transfer of information continuously runs on top of the brain‘s slowly-changing anatomical connectivity. Measuring such transfer is crucial t作者: Thymus 時(shí)間: 2025-3-26 11:10 作者: 爭(zhēng)論 時(shí)間: 2025-3-26 14:30
Transfer Entropy in Neuroscienceinformation transfer and Runge’s momentary information transfer, it may serve as a frame of reference for more specialised treatments and as an overview over the field of studies in information transfer in general.作者: Allowance 時(shí)間: 2025-3-26 20:11
Conditional Entropy-Based Evaluation of Information Dynamics in Physiological Systemsand performs a compensation for the bias occurring for conditioning vectors of increasing dimension. The framework is illustrated on numerical examples showing its capability to deal with the curse of dimensionality in the multivariate computation of CondEn, and to reliably estimate SE, CE and TE in作者: heirloom 時(shí)間: 2025-3-27 00:48 作者: gusher 時(shí)間: 2025-3-27 03:02 作者: 火光在搖曳 時(shí)間: 2025-3-27 08:55 作者: Pepsin 時(shí)間: 2025-3-27 12:15 作者: Hangar 時(shí)間: 2025-3-27 14:19 作者: 我還要背著他 時(shí)間: 2025-3-27 18:33 作者: FANG 時(shí)間: 2025-3-28 00:46
https://doi.org/10.37307/b.978-3-503-20937-8and performs a compensation for the bias occurring for conditioning vectors of increasing dimension. The framework is illustrated on numerical examples showing its capability to deal with the curse of dimensionality in the multivariate computation of CondEn, and to reliably estimate SE, CE and TE in作者: ALIAS 時(shí)間: 2025-3-28 02:49 作者: arboretum 時(shí)間: 2025-3-28 09:37
https://doi.org/10.1007/978-3-662-50321-8 flow patterns. Here we discuss how suitable generalizations of Transfer Entropy, taking into account switching between collective states of the analyzed circuits, can provide a picture of directed functional interactions in agreement with a “ground-truth” description at the dynamical systems level.作者: CLOWN 時(shí)間: 2025-3-28 11:14 作者: linguistics 時(shí)間: 2025-3-28 17:17
Modul 10: Gesundheit und Kompetenznformation transfer and processing role of gliders and glider collisions. Finally, we describe the outlook in anticipating the broad application of these local measures of information processing in computational neuroscience.作者: 松果 時(shí)間: 2025-3-28 20:14
10樓作者: 館長(zhǎng) 時(shí)間: 2025-3-28 23:23
10樓作者: 變量 時(shí)間: 2025-3-29 07:05
10樓作者: heckle 時(shí)間: 2025-3-29 08:55
10樓
