標題: Titlebook: Wavelets in Neuroscience; Alexander E. Hramov,Alexey A. Koronovskii,Evgenia Book 2015 Springer-Verlag Berlin Heidelberg 2015 Data Analysi [打印本頁] 作者: Malinger 時間: 2025-3-21 19:51
書目名稱Wavelets in Neuroscience影響因子(影響力)
書目名稱Wavelets in Neuroscience影響因子(影響力)學科排名
書目名稱Wavelets in Neuroscience網(wǎng)絡公開度
書目名稱Wavelets in Neuroscience網(wǎng)絡公開度學科排名
書目名稱Wavelets in Neuroscience被引頻次
書目名稱Wavelets in Neuroscience被引頻次學科排名
書目名稱Wavelets in Neuroscience年度引用
書目名稱Wavelets in Neuroscience年度引用學科排名
書目名稱Wavelets in Neuroscience讀者反饋
書目名稱Wavelets in Neuroscience讀者反饋學科排名
作者: 釘牢 時間: 2025-3-21 20:44
Alexander E. Hramov,Alexey A. Koronovskii,Valeri A. Makarov,Alexey N. Pavlov,Evgenia Sitnikova作者: Oratory 時間: 2025-3-22 03:30 作者: V洗浴 時間: 2025-3-22 07:19 作者: 效果 時間: 2025-3-22 12:19
Alexander E. Hramov,Alexey A. Koronovskii,Valeri A. Makarov,Alexey N. Pavlov,Evgenia Sitnikova作者: 任意 時間: 2025-3-22 12:55 作者: 蘆筍 時間: 2025-3-22 17:48 作者: Meditate 時間: 2025-3-22 22:10 作者: 法律 時間: 2025-3-23 05:06
Conclusion,rd methods for signal processing in biology and medicine. This does not mean replacement of the conventional by new techniques, but improvement of existing approaches to make wavelet analysis more widely applicable in experimental neuroscience.作者: FIN 時間: 2025-3-23 05:34 作者: Alcove 時間: 2025-3-23 11:27 作者: 有惡意 時間: 2025-3-23 15:54
Alexander E. Hramov,Alexey A. Koronovskii,Valeri A. Makarov,Alexey N. Pavlov,Evgenia Sitnikovaand if you are dissatisfied with the billing program, you cannot change it without hooking up to a new timeshare system. But then, for practical purposes, if you had already input a lot of data to your own system, you wouldn’t want to start over in any case.作者: 高腳酒杯 時間: 2025-3-23 19:45 作者: defile 時間: 2025-3-24 01:09
Alexander E. Hramov,Alexey A. Koronovskii,Valeri A. Makarov,Alexey N. Pavlov,Evgenia Sitnikova T. S. Eliot refers in ‘Tradition and the Individual Talent’ when he writes that the most ‘individual’ parts of a poet’s work ‘may be those in which the dead poets, his ancestors, assert their immortality most vigorously.’ .To define such continuities is obviously a means of clarifying the place whi作者: inconceivable 時間: 2025-3-24 04:04
Alexander E. Hramov,Alexey A. Koronovskii,Valeri A. Makarov,Alexey N. Pavlov,Evgenia Sitnikovatermined by hostile forces, transcendental or mundane, which cannot be resisted, but must constantly be defied; its presentation of the corrosiveness and oppressiveness of human institutions — the state, the tribe, the family — which imprison the human spirit though operated by decent men, loving fa作者: extinguish 時間: 2025-3-24 07:24 作者: Genome 時間: 2025-3-24 12:11
Alexander E. Hramov,Alexey A. Koronovskii,Valeri A. Makarov,Alexey N. Pavlov,Evgenia Sitnikovared of war did not prevent him from engaging in ‘Freedom’s Battle’. His tough-mindedness permitted a realistic recognition of his own limitations. His willingness to speculate far and wide opened the way to his independence of judgement. His perception of uncertainty in the large matters of human de作者: chance 時間: 2025-3-24 18:33
Alexander E. Hramov,Alexey A. Koronovskii,Valeri A. Makarov,Alexey N. Pavlov,Evgenia Sitnikovar die übertragung der Bezeichnung B?nkelsang auf das sozialkri-tische Chanson liegt in der Breitenwirkung begründet, die man dem B?nkels?nger wohl mit Recht zuschreibt, der auf den Stra?en ein Publikum ansprach, das sich in Konzerts?le niemals verirrte. Hier ist zweifellos der Wunsch derer, die ihre作者: defray 時間: 2025-3-24 20:48
Alexander E. Hramov,Alexey A. Koronovskii,Valeri A. Makarov,Alexey N. Pavlov,Evgenia Sitnikovait Mitte der 30er Jahre wurde dann der Obst- und Gemüsebau in die Produktionsplanung und Marktordnung des Reichsn?hrstandes einbezogen. Dazu wurden Bezirksabgabestellen mit genau eingegrenzten Einzugsgebieten gesehaffen. Auch in Baden enstand 1935 unter anderen solch eine regionale Stelle, aus der s作者: 燦爛 時間: 2025-3-25 00:21
0172-7389 ral networks (chapter 4). The features of time-frequency organization of EEG signals are then extensively discussed, from theory to practical applications (chapters 5 and 6). Last978-3-662-51078-0978-3-662-43850-3Series ISSN 0172-7389 Series E-ISSN 2198-333X 作者: 大看臺 時間: 2025-3-25 06:15 作者: PET-scan 時間: 2025-3-25 09:04
Analysis of Single Neuron Recordings,ned with ordinary frequency or time domain methods. We discuss the possibility of studying intracellular dynamics and information encoding by individual neurons. We characterize the dynamical stability of the neuronal response and propose an approach to quantify wavelet coherence.作者: EVADE 時間: 2025-3-25 12:29 作者: Counteract 時間: 2025-3-25 17:00
Classification of Neuronal Spikes from Extracellular Recordings,amics of small groups of neurons. We discuss general principles of spike sorting and propose several wavelet-based techniques to improve the quality of spike separation, including an approach for optimal sorting with wavelets and filtering techniques. Finally, we consider the application of artificial neural networks to solve this problem.作者: infatuation 時間: 2025-3-25 20:44
Analysis of Single Neuron Recordings,ned with ordinary frequency or time domain methods. We discuss the possibility of studying intracellular dynamics and information encoding by individual neurons. We characterize the dynamical stability of the neuronal response and propose an approach to quantify wavelet coherence.作者: Mirage 時間: 2025-3-26 02:08
Classification of Neuronal Spikes from Extracellular Recordings,amics of small groups of neurons. We discuss general principles of spike sorting and propose several wavelet-based techniques to improve the quality of spike separation, including an approach for optimal sorting with wavelets and filtering techniques. Finally, we consider the application of artificial neural networks to solve this problem.作者: Bricklayer 時間: 2025-3-26 07:33
,Time–Frequency Analysis of EEG: From Theory to Practice,attention to technical and computational details of time–frequency analysis of neurophysiological signals, i.e., produced by electrical brain activity in animals and humans. This chapter also presents continuous wavelet analysis of hypersynchronous rhythmic activity in multichannel EEG, characterizing the onset of absence epilepsy in patients.作者: 值得尊敬 時間: 2025-3-26 09:14
,Time–Frequency Analysis of EEG: From Theory to Practice,attention to technical and computational details of time–frequency analysis of neurophysiological signals, i.e., produced by electrical brain activity in animals and humans. This chapter also presents continuous wavelet analysis of hypersynchronous rhythmic activity in multichannel EEG, characterizing the onset of absence epilepsy in patients.作者: 我沒有強迫 時間: 2025-3-26 14:49 作者: STALL 時間: 2025-3-26 20:47 作者: penance 時間: 2025-3-26 23:32
978-3-662-51078-0Springer-Verlag Berlin Heidelberg 2015作者: 無目標 時間: 2025-3-27 03:47
Wavelets in Neuroscience978-3-662-43850-3Series ISSN 0172-7389 Series E-ISSN 2198-333X 作者: Allure 時間: 2025-3-27 07:59 作者: transdermal 時間: 2025-3-27 11:14 作者: 反饋 時間: 2025-3-27 17:23
Wavelet Approach to the Study of Rhythmic Neuronal Activity,e, (ii) automatic detection of oscillatory patterns in pre-recorded EEG, (iii) classification of oscillatory patterns, (iv) real-time detection of oscillatory patterns in EEG, (v) detection of synchronous states of electrical brain activity, (vi) artifact suppression/rejection in multichannel EEG, (vii) the study of cognitive processes.作者: 招惹 時間: 2025-3-27 19:14 作者: 舊石器時代 時間: 2025-3-27 22:13 作者: FIG 時間: 2025-3-28 05:00
Mathematical Methods of Signal Processing in Neuroscience,sis in neuroscience, from the . (the dynamics of individual cells or intracellular processes) to the . (dynamics of large-scale neuronal networks in the brain as a whole, ascertained by analyzing electro- and magnetoencephalograms).作者: Mobile 時間: 2025-3-28 08:01
Mathematical Methods of Signal Processing in Neuroscience,sis in neuroscience, from the . (the dynamics of individual cells or intracellular processes) to the . (dynamics of large-scale neuronal networks in the brain as a whole, ascertained by analyzing electro- and magnetoencephalograms).作者: 吃掉 時間: 2025-3-28 12:21
0172-7389 non-specialists and students.This book examines theoretical and applied aspects of wavelet analysis in neurophysics, describing in detail different practical applications of the wavelet theory in the areas of neurodynamics and neurophysiology and providing a review of fundamental work that has been作者: 剝削 時間: 2025-3-28 17:38 作者: nonsensical 時間: 2025-3-28 22:35 作者: 旅行路線 時間: 2025-3-29 01:09
Mathematical Methods of Signal Processing in Neuroscience,ive the rationale for the development of specific mathematical approaches for decoding information from non-stationary neurophysiological processes with time-varying features. Second, we focus on the development of mathematical methods for automatic processing and analysis of neurophysiological sign作者: 樂意 時間: 2025-3-29 05:30
Analysis of Single Neuron Recordings,ned with ordinary frequency or time domain methods. We discuss the possibility of studying intracellular dynamics and information encoding by individual neurons. We characterize the dynamical stability of the neuronal response and propose an approach to quantify wavelet coherence.作者: Deceit 時間: 2025-3-29 10:24 作者: Sigmoidoscopy 時間: 2025-3-29 12:45 作者: trigger 時間: 2025-3-29 16:44
Analysis of Single Neuron Recordings,ned with ordinary frequency or time domain methods. We discuss the possibility of studying intracellular dynamics and information encoding by individual neurons. We characterize the dynamical stability of the neuronal response and propose an approach to quantify wavelet coherence.作者: Tdd526 時間: 2025-3-29 23:38
Wavelet Approach to the Study of Rhythmic Neuronal Activity,e the general physical and mathematical approaches to time–frequency analysis of rhythmic EEG activity using the continuous wavelet transform. Besides that, we review some recent achievements of wavelet-based studies of electrical brain activity, including (i) time–frequency analysis of EEG structur作者: 苦笑 時間: 2025-3-30 02:00
Classification of Neuronal Spikes from Extracellular Recordings,amics of small groups of neurons. We discuss general principles of spike sorting and propose several wavelet-based techniques to improve the quality of spike separation, including an approach for optimal sorting with wavelets and filtering techniques. Finally, we consider the application of artifici作者: FIN 時間: 2025-3-30 06:19
Wavelet Approach to the Study of Rhythmic Neuronal Activity,e the general physical and mathematical approaches to time–frequency analysis of rhythmic EEG activity using the continuous wavelet transform. Besides that, we review some recent achievements of wavelet-based studies of electrical brain activity, including (i) time–frequency analysis of EEG structur作者: promote 時間: 2025-3-30 11:26 作者: 神刊 時間: 2025-3-30 15:51
,Time–Frequency Analysis of EEG: From Theory to Practice,attention to technical and computational details of time–frequency analysis of neurophysiological signals, i.e., produced by electrical brain activity in animals and humans. This chapter also presents continuous wavelet analysis of hypersynchronous rhythmic activity in multichannel EEG, characterizi作者: 上下倒置 時間: 2025-3-30 18:40 作者: entail 時間: 2025-3-30 20:56
Automatic Diagnostics and Processing of EEG,tize “routine” operations, such as visual inspection of EEG. In addition to that, we exemplify some practical applications of wavelet methods for automatic analysis of pre-recorded signals of neuronal activity (. diagnostics), and also some examples of EEG analysis in real-time (.). We also discuss 作者: HEAVY 時間: 2025-3-31 04:27 作者: Juvenile 時間: 2025-3-31 07:40
