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Statistical signal processing for neuroscience and neurotechnology /
This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Burlington, MA :
Academic Press/Elsevier,
�2010.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Detection and classification of extracellular action potential recordings / Karim G. Oweiss and Mehdi A. Aghagolzadeh
- Information-theoretic analysis of neural data / Don H. Johnson
- Identification of nonlinear dynamics in neural population activity / Dong Song and Theodore W. Berger
- Graphical models of functional and effective neuronal connectivity / Seif M. Eldawlatly and Karim G. Oweiss
- State-space modeling of neural spike train and behavioral data / Zhe Chen, Riccardo Barbieri, and Emery N. Brown
- Neural decoding for motor and communication prostheses / Byron M. Yu [and others]
- Inner products for representation and learning in the spike train domain / Antonio R.C. Paiva, Il Park, and Jos�e C. Pr�incipe
- Signal processing and machine learning for single-trial analysis of simultaneously acquired EEG and fMRI / Paul Sajda [and others]
- Statistical pattern recognition and machine learning in brain-computer interfaces / Rajesh P.N. Rao and Reinhold Scherer
- Prediction of muscle activity from cortical signals to restore hand grasp in subjects with spinal cord injury / Emily R. Oby [and others].