Statistical signal processing for neuroscience and neurotechnology
By: edited by Karim G. Oweiss
Publisher: Academic Press
Published: 2011
Place of publication: Burlington, MA
Language: eng
Number of pages: 411
ISBN-13: 9780123750273
Notes: Includes bibliographical references and index.
Table of contents: title: Detection and classification of extracellular action potential recordings / Karim G. Oweiss and Mehdi A. Aghagolzadeh; title: Information-theoretic analysis of neural data / Don H. Johnson; title: Identification of nonlinear dynamics in neural population activity / Dong Song and Theodore Berger; title: Graphical models of functional and effective neuronal connectivity / Seif M. Eldawlatly and Karim G. Oweiss; title: State-space modeling of neural spike train and behavioral data / Zhe Chen, Riccardo Barbieri, and Emery N. Brown; title: Neural decoding for motor and communication prostheses / Byron M. Yu ... [et al.]; title: Inner products for representation and learning in the spike train domain / Antonio R.C. Paiva, Il Park, and Jose C. Principe; title: Signal processing and machine learning for single-trial analysis of simultaneously acquired EEG and fMRI / Paul Sajda ... [et al.]; title: Statistical pattern recognition and machine learning in brain-computer interfaces / Rajesh P.N. Rao and Reinhold Scherer; title: Getting a grip on spinal cord injury : a novel application of a brain machine interface / Emily R. Oby ... [et al.].