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Principles of Computational Modelling in Neuroscience
  • Language: en
  • Pages: 401

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.

Principles of Computational Modelling in Neuroscience
  • Language: en
  • Pages: 403

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 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
  • Language: en
  • Pages: 554

Principles of Computational Modelling in Neuroscience

Providing a step-by-step and practical account of how to model neurons and neural circuitry, this textbook is designed for advanced undergraduate and postgraduate students of computational neuroscience as well as for researchers in neuroscience and related sciences wishing to apply computational approaches to interpret data and make predictions.

Computational Neuroscience: Trends in Research 2004
  • Language: en
  • Pages: 1260

Computational Neuroscience: Trends in Research 2004

  • Type: Book
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  • Published: 2004-06-26
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  • Publisher: Elsevier

The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.

Principles of Computational Modelling in Neuroscience
  • Language: en
  • Pages: 404

Principles of Computational Modelling in Neuroscience

  • Type: Book
  • -
  • Published: 2014-05-14
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  • Publisher: Unknown

How to use techniques of computational modelling to understand the nervous system at all levels from ion channels to networks.

Neuronal Information Processing
  • Language: en
  • Pages: 220

Neuronal Information Processing

Recent developments in the neurosciences have considerably modified our knowledge of both the operating modes of neurons and information processing in the cortex. Multi-unit recordings have enabled temporal correlations to be detected, within temporal windows of the order of 1ms. Oscillations corresponding to a quasi-periodic spike-giving, synchronized over several visual cortical areas, have been observed in anaesthesized cats and monkeys. Recent studies have also focused on the role played by the dendritic arborization. These developments have led to considerable interest in a coding scheme which relies on precise spatio-temporal patterns from both the theoretical and experimental points o...

Animation, Plasticity, and Music in Italy, 1770-1830
  • Language: en
  • Pages: 232

Animation, Plasticity, and Music in Italy, 1770-1830

This pathbreaking study of Italian stage works reconsiders a crucial period of music history: the late eighteenth century through the early nineteenth century. In her interdisciplinary examination of the statue animated by music, Ellen Lockhart deftly shows how Enlightenment ideas influenced Italian theater and music and vice versa. As Lockhart concludes, the animated statue became a fundamental figure within aesthetic theory and musical practice during the years spanning 1770–1830. Animation, Plasticity, and Music in Italy, 1770–1830 begins with an exploration of a repertoire of Italian ballets, melodramas, and operas from around 1800, then traces and connects a set of core ideas between science, philosophy, theories of language, itinerant performance traditions, the epistemology of sensing, and music criticism.

Deep Generative Modeling
  • Language: en
  • Pages: 210

Deep Generative Modeling

This textbook tackles the problem of formulating AI systems by combining probabilistic modeling and deep learning. Moreover, it goes beyond typical predictive modeling and brings together supervised learning and unsupervised learning. The resulting paradigm, called deep generative modeling, utilizes the generative perspective on perceiving the surrounding world. It assumes that each phenomenon is driven by an underlying generative process that defines a joint distribution over random variables and their stochastic interactions, i.e., how events occur and in what order. The adjective "deep" comes from the fact that the distribution is parameterized using deep neural networks. There are two di...

Death in Fifteenth Century Castile
  • Language: en
  • Pages: 230

Death in Fifteenth Century Castile

Differences in attitudes to death and dying in two distinct social classes, the ecclesiastics and the nobility. The theory of the three estates made clear distinctions between the functions of the two estates which comprised the elite of medieval society: the oradores (ecclesiastics) and the defensores (warriors or nobility).They had different lifestyles, clothing and ways of thinking about life. With regard to death, the responses dictated by Christian theology conflicted with the demands of the defensor ideology, based on the defence of individual honour, the pursuit of fama and the display of earthly power. This book charts the progress of the dying from their preparations for death, thro...

Proceedings of the Board of Councilmen of the City of New York
  • Language: en
  • Pages: 562