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Modeling Neural Circuits Made Simple by Robert Rosenbaum (19 results)
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Modeling Neural Circuits Made Simple with Python (Computational Neuroscience Series)
Published by The MIT Press (edition ), 2024
ISBN 10: 0262548089 ISBN 13: 9780262548083
Language: English
Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Modeling Neural Circuits Made Simple with Python (Computational Neuroscience Series)
Published by The MIT Press Bookstore, 2024
ISBN 10: 0262548089 ISBN 13: 9780262548083
Language: English
Condition: New.
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Condition: New.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Modeling Neural Circuits Made Simple with Python (Computational Neuroscience Series)
Published by The MIT Press Bookstore, 2024
ISBN 10: 0262548089 ISBN 13: 9780262548083
Language: English
US$ 46.76
Convert currencyUS$ 8.81 shipping from United Kingdom to U.S.A.Quantity: 1 available
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Paperback. Condition: New.
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Modeling Neural Circuits Made Simple with Python (Computational Neuroscience Series)
Published by The MIT Press Bookstore, 2024
ISBN 10: 0262548089 ISBN 13: 9780262548083
Language: English
US$ 52.27
Convert currencyUS$ 11.68 shipping from Germany to U.S.A.Quantity: 1 available
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US$ 46.87
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Add to basketSoft cover. Condition: New. ISBN:9780262548083.
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Paperback. Condition: new. Paperback. An accessible undergraduate textbook in computational neuroscience that provides an introduction to the mathematical and computational modeling of neurons and networks of neurons.An accessible undergraduate textbook in computational neuroscience that provides an introduction to the mathematical and computational modeling of neurons and networks of neurons.Understanding the brain is a major frontier of modern science. Given the complexity of neural circuits, advancing that understanding requires mathematical and computational approaches. This accessible undergraduate textbook in computational neuroscience provides an introduction to the mathematical and computational modeling of neurons and networks of neurons. Starting with the biophysics of single neurons, Robert Rosenbaum incrementally builds to explanations of neural coding, learning, and the relationship between biological and artificial neural networks. Examples with real neural data demonstrate how computational models can be used to understand phenomena observed in neural recordings. Based on years of classroom experience, the material has been carefully streamlined to provide all the content needed to build a foundation for modeling neural circuits in a one-semester course.Proven in the classroomExample-rich, student-friendly approachIncludes Python code and a mathematical appendix reviewing the requisite background in calculus, linear algebra, and probabilityIdeal for engineering, science, and mathematics majors and for self-study "Rosenbaum explains at an advanced undergrad level, the core mathematical and computational models of neurons and networks of neurons, focusing primarily on neurons in the cerebral cortex"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: As New. Unread book in perfect condition.
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US$ 73.92
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Modeling Neural Circuits Made Simple with Python
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
US$ 65.98
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Condition: New. 2024. Paperback. . . . . . Books ship from the US and Ireland.
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Add to basketPaperback. Condition: new. Paperback. An accessible undergraduate textbook in computational neuroscience that provides an introduction to the mathematical and computational modeling of neurons and networks of neurons.An accessible undergraduate textbook in computational neuroscience that provides an introduction to the mathematical and computational modeling of neurons and networks of neurons.Understanding the brain is a major frontier of modern science. Given the complexity of neural circuits, advancing that understanding requires mathematical and computational approaches. This accessible undergraduate textbook in computational neuroscience provides an introduction to the mathematical and computational modeling of neurons and networks of neurons. Starting with the biophysics of single neurons, Robert Rosenbaum incrementally builds to explanations of neural coding, learning, and the relationship between biological and artificial neural networks. Examples with real neural data demonstrate how computational models can be used to understand phenomena observed in neural recordings. Based on years of classroom experience, the material has been carefully streamlined to provide all the content needed to build a foundation for modeling neural circuits in a one-semester course.Proven in the classroomExample-rich, student-friendly approachIncludes Python code and a mathematical appendix reviewing the requisite background in calculus, linear algebra, and probabilityIdeal for engineering, science, and mathematics majors and for self-study "Rosenbaum explains at an advanced undergrad level, the core mathematical and computational models of neurons and networks of neurons, focusing primarily on neurons in the cerebral cortex"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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US$ 60.89
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US$ 118.07
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Add to basketPaperback. Condition: new. Paperback. An accessible undergraduate textbook in computational neuroscience that provides an introduction to the mathematical and computational modeling of neurons and networks of neurons.An accessible undergraduate textbook in computational neuroscience that provides an introduction to the mathematical and computational modeling of neurons and networks of neurons.Understanding the brain is a major frontier of modern science. Given the complexity of neural circuits, advancing that understanding requires mathematical and computational approaches. This accessible undergraduate textbook in computational neuroscience provides an introduction to the mathematical and computational modeling of neurons and networks of neurons. Starting with the biophysics of single neurons, Robert Rosenbaum incrementally builds to explanations of neural coding, learning, and the relationship between biological and artificial neural networks. Examples with real neural data demonstrate how computational models can be used to understand phenomena observed in neural recordings. Based on years of classroom experience, the material has been carefully streamlined to provide all the content needed to build a foundation for modeling neural circuits in a one-semester course.Proven in the classroomExample-rich, student-friendly approachIncludes Python code and a mathematical appendix reviewing the requisite background in calculus, linear algebra, and probabilityIdeal for engineering, science, and mathematics majors and for self-study "Rosenbaum explains at an advanced undergrad level, the core mathematical and computational models of neurons and networks of neurons, focusing primarily on neurons in the cerebral cortex"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
