Idioma: Inglés
Publicado por Cambridge University Press, 2002
ISBN 10: 0521890799 ISBN 13: 9780521890793
Librería: Moe's Books, Berkeley, CA, Estados Unidos de America
EUR 60,52
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Añadir al carritoSoft cover. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107635195 ISBN 13: 9781107635197
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 74,80
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Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107635195 ISBN 13: 9781107635197
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 77,43
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Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107635195 ISBN 13: 9781107635197
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 78,18
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107635195 ISBN 13: 9781107635197
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 75,29
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Idioma: Inglés
Publicado por Cambridge University Press, GB, 2014
ISBN 10: 1107635195 ISBN 13: 9781107635197
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 89,78
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Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press 2014-09-22, 2014
ISBN 10: 1107635195 ISBN 13: 9781107635197
Librería: Chiron Media, Wallingford, Reino Unido
EUR 72,34
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107635195 ISBN 13: 9781107635197
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 72,99
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2002
ISBN 10: 0521890799 ISBN 13: 9780521890793
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 89,73
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107635195 ISBN 13: 9781107635197
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 82,63
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2014
ISBN 10: 1107635195 ISBN 13: 9781107635197
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 101,16
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Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2002
ISBN 10: 0521890799 ISBN 13: 9780521890793
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 89,95
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Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Cambridge University Press, 2002
ISBN 10: 0521890799 ISBN 13: 9780521890793
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 89,94
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Idioma: Inglés
Publicado por Cambridge University Press CUP, 2014
ISBN 10: 1107635195 ISBN 13: 9781107635197
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 111,64
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 578 Index.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2002
ISBN 10: 0521890799 ISBN 13: 9780521890793
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 117,32
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Añadir al carritoPaperback. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 108,01
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 1st edition. 578 pages. 9.75x7.00x1.25 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2002
ISBN 10: 0521890799 ISBN 13: 9780521890793
Librería: BennettBooksLtd, Los Angeles, CA, Estados Unidos de America
EUR 128,96
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: New. In shrink wrap. Looks like an interesting title!
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2014
ISBN 10: 1107635195 ISBN 13: 9781107635197
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 92,17
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Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107060834 ISBN 13: 9781107060838
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 126,60
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Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Cambridge University Press, 2002
ISBN 10: 0521890799 ISBN 13: 9780521890793
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 124,08
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107060834 ISBN 13: 9781107060838
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 140,30
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107060834 ISBN 13: 9781107060838
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 143,29
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107060834 ISBN 13: 9781107060838
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 126,59
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2002
ISBN 10: 0521890799 ISBN 13: 9780521890793
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 145,46
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2014
ISBN 10: 1107635195 ISBN 13: 9781107635197
Librería: Rarewaves.com UK, London, Reino Unido
EUR 95,01
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Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2014
ISBN 10: 1107060834 ISBN 13: 9781107060838
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 176,24
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Añadir al carritoHardback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2002
ISBN 10: 0521890799 ISBN 13: 9780521890793
Librería: Rarewaves.com UK, London, Reino Unido
EUR 110,43
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2002
ISBN 10: 0521813840 ISBN 13: 9780521813846
Librería: Buchpark, Trebbin, Alemania
EUR 98,51
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: Gut. Zustand: Gut | Seiten: 494 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 197,63
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 568 pages. 10.00x7.00x1.25 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2014
ISBN 10: 1107060834 ISBN 13: 9781107060838
Librería: Rarewaves.com UK, London, Reino Unido
EUR 166,60
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHardback. Condición: 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.