Willshaw david (49 Ergebnisse)

Zustand: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.…

Softcover. Zustand: Near Fine. Zustand des Schutzumschlags: No Dust Jacket As Issued. Edited by Stefan Wermter, Jim Austin, and David Willshaw. Berlin Heidelberg, New York: Springer, (2001). Large 8vo. x,577pp, Index. Softcover, near fine condition (light wear to rear cover). Presents a "broad spectrum of current research into biologically inspired computational systems and hence encourage the emergence of new computational approaches based on neuroscience". ISBN 354042363X; Lecture Notes In Artificial Intelligence 2036; Several figures; Large 8vo ; 592 pages.…

Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

hardcover. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Zustand: good. Used - Good: All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May include From the library of labels. Shrink wrap, dust covers, or boxed set case may be missing. Item may be missing bundled media. Any access codes or passwords originally included with the book may be expired, used or no longer valid. Image is stock photo and cover art edition may be different than pictured.…

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New. pp. 401.

Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

hardcover. Zustand: new.

Zustand: New.

Hardcover. Zustand: As New. 1st Edition. From publisher's library. Marking on spine. Bookplate on inside cover and library stamp, otherwise book is new, never read, pages clean and crisp, spine unbroken. 0423A.

Zustand: New. In English.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.…

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Hardcover/gebunden. Zustand: gut. Erste Aufl. Pappeinband mit goldgeprägtem Rücken- und Deckeltitel. Die Deckelbeschriftung leicht berieben, der Vorsatz am oberen Rand mit rechteckigem Ausschnitt, die Seitenränder leicht nachgedunkelt, ansonsten guter Erhaltungszustand. "This is the first book that attempts to bring together what is known about the fundamental mechanisms that underlie the development of the cortex in mammals. Ranging from the emergence of the forebrain from the neural plate to the functioning adult form, the authors draw on evidence from several species to provide a detailed description of processes at each stage. Where appropriate, evidence is extrapolated from non-mammalian species to generate hypotheses about mammalian development. In contrast to other texts of developmental biology, Mechanisms of Cortical Development integrates information on regulatory processes at the levels of molecules, cells and networks. The authors draw together an extensive literature on cellular development and structural morphology, biochemical and genetic events and hypotheses that have been subject to mathematical modelling. Important methodologies, such as transgenics and formal modelling, are explained for the non-specialist. Major future challenges are clearly identified. This is a unique contribution to the literature, combining the fundamentals of experimental developmental neurobiology with accessible neural modelling. It will be essential reading for neuroscientists in general as well as those with a particular interest in development." (Verlagstext) In englischer Sprache. XII, 315, (1) pages. Groß 8° (160 x 240mm).…

Hardcover. Zustand: New. In shrink wrap. Looks like an interesting title.

Zustand: New.

Hardback. Zustand: New. 2nd. 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.…

Zustand: New.

Zustand: New. 2nd edition NO-PA16APR2015-KAP.

Hardback. Zustand: New. 2nd. 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.…

Hardback. Zustand: New. 2nd. 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.…

Zustand: New.