I remember the first time I met John, or "Johnny B" as most folks referred to him - it was at his daughter, Melody's wedding rehearsal, where I was best man for my friend Jeff. John was dressed in his best attire - new blue work pants with suspenders, blue suit with a white shirt and a navy colored neck tie. He had difficulty finding shirts with a large enough neck, so instead of the top button holding his shirt collar together, the task was forfeited to the necktie. He and his wife Anne had married a bit later in life, as did both his daughters, so he was 79 years old at the time of Melody's wedding. Anne told him, with a voice still slightly tainted with a Slovak accent, "Papa, when you walk Melody down the isle, walk straight. Don't walk like an old man." John looked at her over his glasses and said, "I AM an old man."

Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience.

Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience.

I remember the first time I met John, or "Johnny B" as most folks referred to him - it was at his daughter, Melody's wedding rehearsal, where I was best man for my friend Jeff. John was dressed in his best attire - new blue work pants with suspenders, blue suit with a white shirt and a navy colored neck tie. He had difficulty finding shirts with a large enough neck, so instead of the top button holding his shirt collar together, the task was forfeited to the necktie. He and his wife Anne had married a bit later in life, as did both his daughters, so he was 79 years old at the time of Melody's wedding. Anne told him, with a voice still slightly tainted with a Slovak accent, "Papa, when you walk Melody down the isle, walk straight. Don't walk like an old man." John looked at her over his glasses and said, "I AM an old man."

The hippocampus is thought to play a role in the short-term storage of declarative memories in the human brain. Our understanding of its anatomy, physiology and molecular structure has expanded rapidly in recent years. Yet much still needs to be done to decipher the function of the detailed microcircuits. This overview of our current knowledge of the hippocampus also provides a snapshot of the state of the art of ongoing research into these microcircuits.

Rich in detail, Hippocampal Microcircuits: A Computational Modeler s Resource Book provides succinct and focused reviews of experimental results. It is an unparalleled resource of data and methodology that will be invaluable to anyone wishing to develop computational models of the microcircuits of the hippocampus. The editors have divided the material into two thematic areas. Covering the subject s experimental background, leading neuroscientists discuss the morphological, physiological and molecular characteristics as well as the connectivity and synaptic properties of the various cell types found in the hippocampus. Here, ensemble activity, related to behavior, on the part of morphologically identified neurons in anesthetized and freely moving animals, lead to insights into the functions of hippocampal areas. In the second section, on computational analysis, computational neuroscientists present models of hippocampal microcircuits at various levels of detail, including single-cell and network levels. A full chapter is devoted to the single-neuron and network simulation environments currently used by computational neuroscientists in developing their models.

In addition to the above, the chapters also identify outstanding questions and areas in need of further clarification that will guide future research by computational neuroscientists."