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"Statistical signal processing for neuroscience and neurotechnology" was published by Academic Press in 2011 - Burlington, MA, it has 411 pages and the language of the book is English.


“Statistical signal processing for neuroscience and neurotechnology” Metadata:

  • Title: ➤  Statistical signal processing for neuroscience and neurotechnology
  • Author:
  • Language: English
  • Number of Pages: 411
  • Publisher: Academic Press
  • Publish Date:
  • Publish Location: Burlington, MA

“Statistical signal processing for neuroscience and neurotechnology” Subjects and Themes:

Edition Specifications:

  • Pagination: p. ;

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AI-generated Review of “Statistical signal processing for neuroscience and neurotechnology”:


"Statistical signal processing for neuroscience and neurotechnology" Table Of Contents:

  • 1- Detection and classification of extracellular action potential recordings / Karim G. Oweiss and Mehdi A. Aghagolzadeh
  • 2- Information-theoretic analysis of neural data / Don H. Johnson
  • 3- Identification of nonlinear dynamics in neural population activity / Dong Song and Theodore Berger
  • 4- Graphical models of functional and effective neuronal connectivity / Seif M. Eldawlatly and Karim G. Oweiss
  • 5- State-space modeling of neural spike train and behavioral data / Zhe Chen, Riccardo Barbieri, and Emery N. Brown
  • 6- Neural decoding for motor and communication prostheses / Byron M. Yu ... [et al.]
  • 7- Inner products for representation and learning in the spike train domain / Antonio R.C. Paiva, Il Park, and Jose C. Principe
  • 8- Signal processing and machine learning for single-trial analysis of simultaneously acquired EEG and fMRI / Paul Sajda ... [et al.]
  • 9- Statistical pattern recognition and machine learning in brain-computer interfaces / Rajesh P.N. Rao and Reinhold Scherer
  • 10- Getting a grip on spinal cord injury : a novel application of a brain machine interface / Emily R. Oby ... [et al.].

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