## Neural Engineering: Computation, Representation, and Dynamics in Neurobiological SystemsFor years, researchers have used the theoretical tools of engineering to understand neural systems, but much of this work has been conducted in relative isolation. In The authors present three principles of neural engineering based on the representation of signals by neural ensembles, transformations of these representations through neuronal coupling weights, and the integration of control theory and neural dynamics. Through detailed examples and in-depth discussion, they make the case that these guiding principles constitute a useful theory for generating large-scale models of neurobiological function. A software package written in MatLab for use with their methodology, as well as examples, course notes, exercises, documentation, and other material, are available on the Web. |

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### Contents

IV | 5 |

V | 7 |

VI | 9 |

VII | 13 |

VIII | 15 |

IX | 17 |

X | 19 |

XI | 20 |

LXXV | 157 |

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LXXX | 172 |

LXXXI | 173 |

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XII | 21 |

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XXX | 57 |

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XL | 76 |

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LXXXIII | 179 |

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CXXX | 307 |

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Neural Engineering: Computation, Representation, and Dynamics in ... Chris Eliasmith,Charles H. Anderson No preview available - 2003 |