Gerstner wulfram (76 résultats)

Paperback. Etat : New. UK ed. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.

Etat : 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.

Soft cover. Etat : Very good. No jacket. Cover is rubbed, and lightly creased and worn on edges and corners, but text and images are clear and bright. Binding is tight. Light stain on outer edge of text-block. Inside is clean and unmarked.

Etat : New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.

Softcover. 1274 p. Good condition. The pages are clean and without markings. Slight signs of storage and use. Retired library copy with corresponding markings. Cover with crease. Otherwise, a neat copy. 9783540636311 Sprache: Englisch Gewicht in Gramm: 2000.

Paperback. Etat : Fair. Neuronal Dynamics - Wulfram Gerstner - Paperback - Fair Condition: light scuffs, signs of wear, mams on cover, stamped as damaged on inside cover What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience. It covers classical topics, including the Hodgkin-Huxley equations and Hopfield model, as well as modern developments in the field such as generalized linear models and decision theory. Concepts are introduced using clear step-by-step explanations sui.…

Etat : good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9780521890793.

Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:9780521890793. …

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9780521890793.

Etat : New.

Etat : New. This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience. Num Pages: 578 pages, 280 b/w illus. 6 tables 80 exercises. BIC Classification: UYQN. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 245 x 176 x 27. Weight in Grams: 1154. . 2014. UK ed. Paperback. . . . .…

Etat : New.

Etat : New. In English.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New. What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience. It covers classical topics, including the Hodgkin-Huxley equations and Hopfield model, as well as modern developments in the field such as generalized linear models and decision theory. Concepts are introduced using clear step-by-step explanations suitable for readers with only a basic knowledge of differential equations and probabilities, and are richly illustrated by figures and worked-out examples. End-of-chapter summaries and classroom-tested exercises make the book ideal for courses or for self-study. The authors also give pointers to the literature and an extensive bibliography, which will prove invaluable to readers interested in further study.…

Etat : New.

Paperback / softback. Etat : New. New copy - Usually dispatched within 3 working days.

Etat : New. In English.

Etat : New. This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience. Num Pages: 578 pages, 280 b/w illus. 6 tables 80 exercises. BIC Classification: UYQN. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 245 x 176 x 27. Weight in Grams: 1154. . 2014. UK ed. Paperback. . . . . Books ship from the US and Ireland.…

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 7th International Conference on Artificial Neural Networks, ICANN'97, held in Lausanne, Switzerland,in October 1997. The 201 revised papers presented were selected from a large number of submissions and give a unique documentation of the state of the art in the area. The papers are organized in parts on coding and learning in biology; cortical maps and receptive fields; learning: theory and applications; signal processing: blind source separation, vector quantization, and self-organization; robotics, autonomous agents, and control; speech, vision and pattern recognition; prediction, forecasting and monitoring; and implementations.…

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New. Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this 2002 introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling. The text is enhanced by many worked examples and illustrations. There are no mathematical prerequisites beyond what the audience would meet as undergraduates: more advanced techniques are introduced in an elementary, concrete fashion when needed.…

Paperback. Etat : new. Paperback. What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience. It covers classical topics, including the HodgkinHuxley equations and Hopfield model, as well as modern developments in the field such as generalized linear models and decision theory. Concepts are introduced using clear step-by-step explanations suitable for readers with only a basic knowledge of differential equations and probabilities, and are richly illustrated by figures and worked-out examples. End-of-chapter summaries and classroom-tested exercises make the book ideal for courses or for self-study. The authors also give pointers to the literature and an extensive bibliography, which will prove invaluable to readers interested in further study. Exploring neuron models, the neural code, decision making and learning, this textbook provides a thorough and up-to-date introduction to computational neuroscience for advanced undergraduate and beginning graduate students. With step-by-step explanations, end-of-chapter summaries and classroom-tested exercises, it is ideal for courses or for self-study. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Etat : New. pp. 578 Index.