Bruce Graham

Stanley Tigerman

Bruce Graham of SOM.

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."

Me and Johnny B.

THE STORY: Deke Winters has returned to the small town outside of Pittsburgh where he grew up in an attempt to reclaim his life. For many years he was a high-powered lawyer for the Mob in Philadelphia, where he twisted the truth to free guilty clie

Minor Demons

THE STORY: It's a very special day at the racetrack, where Champagne Charlie, a race-track regular, has had a race named in his honor. A dreamer and teller of tall tales, Charlie is accompanied by his wife of fifty-three years, Mary Lee, an incur

The Champagne Charlie Stakes

Andrew Gillies

David Sterratt

David Willshaw

The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include the effects of neuronal morphology, synapses, ion channels and intracellular signalling. The principle of abstraction is explained through chapters on simplifying models, and how simplified models can be used in networks. This theme is continued in a final chapter on modelling the development of the nervous system. Requiring an elementary background in neuroscience and some high school mathematics, this textbook is an ideal basis for a course on computational neuroscience.

Principles of Computational Modelling in Neuroscience

The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include the effects of neuronal morphology, synapses, ion channels and intracellular signaling. The principle of abstraction is explained through chapters on simplifying models, and how simplified models can be used in networks. This theme is continued in a final chapter on modeling the development of the nervous system. Requiring an elementary background in neuroscience and some high school mathematics, this textbook is an ideal basis for a course on computational neuroscience.

Vassilis Cutsuridis

Stuart Cobb

Imre Vida

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.

A Computational Modeler's Resource Book

Hippocampal Microcircuits

In a summer cottage on Chesapeake Bay, Gunner has hatched an unorthodox plan to secure his family's future but meets with resistance from his wife and son, who have plans of their own. As winter approaches, the three must quickly find common ground and come to an understanding—before the tide goes out. This drama hums with dark humor and powerful emotion.

Bruce Graham

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