## Foundations of Cellular Neurophysiologywith simulations and illustrations by Richard Gray Problem solving is an indispensable part of learning a quantitative science such as neurophysiology. This text for graduate and advanced undergraduate students in neuroscience, physiology, biophysics, and computational neuroscience provides comprehensive, mathematically sophisticated descriptions of modern principles of cellular neurophysiology. It is the only neurophysiology text that gives detailed derivations of equations, worked examples, and homework problem sets (with complete answers). Developed from notes for the course that the authors have taught since 1983, Foundations of Cellular Neurophysiology covers cellular neurophysiology (also some material at the molecular and systems levels) from its physical and mathematical foundations in a way that is far more rigorous than other commonly used texts in this area. |

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### Contents

1 Introduction | 1 |

2 Ion Movement in Excitable Cells | 9 |

3 Electrical Properties of the Excitable Membrane | 39 |

4 Functional Properties of Dendrites | 55 |

S Nonlinear Properties of Excitable Membranes | 121 |

6 Hodgkin and Huxleys Analysis of the Squid Giant Axon | 143 |

7 Functional Diversity of VoltageGated Conductances | 183 |

8 Molecular Structure and Unitary Currents of Ion Channels | 215 |

Ca2+ and Transmitter Release | 323 |

Postsynaptic Mechanisms | 357 |

14 Extracellular Field Recordings | 423 |

15 Cellular Neurophysiology of Learning and Memory | 441 |

A Basic Electricity and Electrical Circuits | 481 |

B Optical Methods in Cellular Neurophysiology | 515 |

C Short Answers to Homework Problems | 537 |

D Complete Solutions to Problems | 549 |

9 Stochastic Analysis of SingleChannel Function | 227 |

10 Formulation of Stochastic Channel Mechanisms | 249 |

Presynaptic Mechanisms | 287 |

Suggested Readings | 635 |

667 | |

### Other editions - View all

Foundations of Cellular Neurophysiology Daniel Johnston,Samuel Miao-sin Wu No preview available - 1995 |

### Common terms and phrases

action potential activated amplitude analysis associated assume axon Ca2+ cable calculated called Caš cell channels chapter charge circuit closed concentration conductance constant course current flow curve decay dendrites dependent depolarization derived described determine discussed distance electrical EPSP equation equilibrium example excitation experiments extracellular field figure function gating given gives hippocampus Hodgkin illustrated important increase injected input ionic light Lond mean measured mechanisms membrane potential method msec negative neuron Note obtained occur peak Physiol plot positive postsynaptic Press presynaptic probability properties receptors recording relation relationship release represent resistance response rest rule scheme shown shows signals single slope soma spine squid steady-state step stimulation synaptic synaptic inputs terminal tion transition transmitter types voltage voltage clamp