Titlebook: Wavelets in Neuroscience; Alexander E. Hramov,Alexey A. Koronovskii,Evgenia Book 2015 Springer-Verlag Berlin Heidelberg 2015 Data Analysi

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PET-scan

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.

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Counteract

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.

infatuation

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.

Mirage

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.

Bricklayer

,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.

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,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.

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