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Titlebook: Wavelets in Neuroscience; Alexander E. Hramov,Alexey A. Koronovskii,Evgenia Book 2021Latest edition The Editor(s) (if applicable) and The

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樓主: Polk
11#
發(fā)表于 2025-3-23 11:27:21 | 只看該作者
Brief Tour of Wavelet Theory,ition from Fourier analysis to wavelets. Mother functions and numerical techniques for implementing the wavelet transform are described. The problem of visualising the results is considered. Finally, features of the discrete wavelet transform are discussed.
12#
發(fā)表于 2025-3-23 14:08:49 | 只看該作者
Analysis of Single Neuron Recordings,rdinary 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.
13#
發(fā)表于 2025-3-23 19:17:29 | 只看該作者
Analysis of Single Neuron Recordings,rdinary 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.
14#
發(fā)表于 2025-3-24 01:20:43 | 只看該作者
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
15#
發(fā)表于 2025-3-24 02:25:57 | 只看該作者
16#
發(fā)表于 2025-3-24 07:57:01 | 只看該作者
Analysis of Gamma-Waves in Multielectrode LFP Recordings, least part of the information flow at the circuit level. The synchronization of the synaptic bombardment promotes sizable transmembrane currents in target neurons that give rise to extracellular local field potentials (LFPs). Thus, LFPs provide convenient access to information processing at the cir
17#
發(fā)表于 2025-3-24 12:00:35 | 只看該作者
18#
發(fā)表于 2025-3-24 17:17:36 | 只看該作者
19#
發(fā)表于 2025-3-24 22:21:22 | 只看該作者
Wavelet Approach to the Study of Rhythmic Neuronal Activity,scribe 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 str
20#
發(fā)表于 2025-3-24 23:40:06 | 只看該作者
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