Statistical signal processing for neuroscience and neurotechnology / edited by Karim G. Oweiss.

Contents 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 José C. Príncipe -- 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.].
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2010012521
ISBN9780123750273
ISBN012375027X

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