http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Statistical signal processing for neuroscience and neurotechnology
xxii, 411 pages : illustrations ; 25 cm.
Detection and classification of extracellular action potential recordings -- Information-theoretic analysis of neural data -- Identification of nonlinear dynamics in neural population activity -- Graphical models of functional and effective neuronal connectivity -- State-space modeling of neural spike train and behavioral data -- Neural decoding for motor and communication prostheses -- Inner products for representation and learning in the spike train domain -- Signal processing and machine learning for single-trial analysis of simultaneously acquired EEG and fMRI -- Statistical pattern recognition and machine learning in brain-computer interfaces -- Prediction of muscle activity from cortical signals to restore hand grasp in subjects with spinal cord injury
Includes bibliographical references and index.