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Brain-machine interface engineering

Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an alternate communication channel linking directly the nervous system with man-made devices. This book reveals the essential engineering principles and signal processin...

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Bibliographic Details
Main Author: Sanchez, Justin Cort.
Other Authors: Príncipe, J. C.
Format: Electronic
Language:English
Published: San Rafael, Calif. (1537 Fourth St, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2007.
Series:Synthesis lectures on biomedical engineering, #17.
Subjects:
Brain-computer interfaces.
Computational neuroscience.
Neural networks (Computer science)
Bioengineering.
Online Access:Abstract with links to resource
Table of Contents:
  • Introduction to neural interfaces
  • Types of brain-machine interfaces
  • Beyond state-of-the-art technology
  • Computational modeling
  • Generation of communication and control signals in the brain
  • Motor BMIs
  • Foundations of neuronal representations
  • Cytoarchitecture
  • Connectionism
  • Neural signaling and electric fields of the brain
  • Spiking models for the neuron
  • Stochastic modeling
  • Neural coding and decoding
  • Methods of kinematic and dynamic representation
  • Modeling and assumptions
  • Implications for BMI signal processing
  • Input-output BMI models
  • Multivariate linear models
  • Nonlinear models
  • Regularization techniques for BMI models
  • Least squares and regularization theory
  • Channel selection experimental results
  • Neural decoding using generative BMI models
  • Population vector coding
  • Sequential estimation
  • Kalman filter
  • Particle filters
  • Hidden markov models
  • Adaptive algorithms for point processes
  • Adaptive filtering for point processes with a Gaussian assumption
  • Monte Carlo sequential estimation for point processes
  • Simulation of Monte Carlo sequential estimation using spike trains
  • Encoding/decoding in motor control
  • BMI systems
  • Sensing neuronal activity : the electrodes
  • Amplification
  • The PICO system
  • Portable DSP designs : the neural signal processor
  • Florida wireless implantable recording electrodes.

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