wulfram gerstner (19 Ergebnisse)

Paperback. Zustand: Fair. THERE ARE NO TARIFFS OR CUSTOMS DUTIES ON BOOKS. Fairly good condition for year.

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.

Zustand: New. In.

Zustand: New. pp. xix + 1274.

Zustand: New. In.

Zustand: 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. Zustand: Neu. Artificial Neural Networks - ICANN '97 | 7th International Conference Lausanne, Switzerland, October 8-10, 1997 Proceedings | Wulfram Gerstner (u. a.) | Taschenbuch | 2 Taschenbücher | Englisch | 1997 | Springer | EAN 9783540636311 | Verantwortliche Person für die EU: Springer-Verlag KG, Sachsenplatz 4-6, 1201 WIEN, ÖSTERREICH, productsafety[at]springernature[dot]com | Anbieter: preigu.

Paperback. Zustand: Brand New. 1st edition. 578 pages. 9.75x7.00x1.25 inches. In Stock.

Taschenbuch. Zustand: 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.

Zustand: New. In.

Hardcover. 4. printing. 480 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. 9780521813846 Sprache: Englisch Gewicht in Gramm: 900.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Zustand: New. 2002. 1st Edition. Paperback. This 2002 book is an introduction to spiking neurons for advanced undergraduate or graduate students. Num Pages: 496 pages, 162 figures. BIC Classification: PSAN; UYQN. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 246 x 175 x 23. Weight in Grams: 786. Single Neurons, Populations, Plasticity. 496 pages, 162 figures. This 2002 book is an introduction to spiking neurons for advanced undergraduate or graduate students. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: PSAN; UYQN. Dimension: 246 x 175 x 23. Weight: 784. . . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Zustand: Gut. Zustand: Gut | Seiten: 494 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Hardcover. Zustand: Brand New. 568 pages. 10.00x7.00x1.25 inches. In Stock.

Softcover. Zustand: gut. 2002. Spiking Neuron Models: Single Neurons, Populations, Plasticity In deutscher Sprache. pages.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Zustand: New. This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience. Num Pages: 590 pages, 280 b/w illus. 6 tables 80 exercises. BIC Classification: UYQN. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 253 x 181 x 30. Weight in Grams: 1286. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.