Statistical signal processing for neuroscience and neurotechnology / 
edited by Karim G. Oweiss. 
 - Burlington, MA :  Academic Press/Elsevier,  2010. 
 - xxii, 411 p. :  ill. ;  25 cm. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>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 ... [et al.] -- Inner products for representation and learning in the spike train domain / Antonio R.C. Paiva, Il Park, and JosC. Prcipe -- Signal processing and machine learning for single-trial analysis of simultaneously acquired EEG and fMRI / Paul Sajda ... [et al.] -- 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 ... [et al.]. 
<br/><br/><label>ISBN: </label>9780123750273  RM404.30 012375027X 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Electroencephalography.<br/>Signal processing--Digital techniques.<br/>Brain Mapping.<br/>Brain--Physiology.<br/>Signal Processing, Computer-Assisted.<br/>Brain Mapping--instrumentation.<br/>Man-machine systems.<br/>Prostheses and Implants.<br/>User-Computer Interface.