剥削
发表于 2025-3-28 17:38:09
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nonsensical
发表于 2025-3-28 22:35:35
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旅行路线
发表于 2025-3-29 01:09:53
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
乐意
发表于 2025-3-29 05:30:14
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.
Deceit
发表于 2025-3-29 10:24:39
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Sigmoidoscopy
发表于 2025-3-29 12:45:29
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trigger
发表于 2025-3-29 16:44:34
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.
Tdd526
发表于 2025-3-29 23:38:10
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
苦笑
发表于 2025-3-30 02:00:00
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
FIN
发表于 2025-3-30 06:19:13
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