280,88 €
312,09 €
-10% with code: EXTRA
Cognitive and Computational Neuroscience
Cognitive and Computational Neuroscience
280,88
312,09 €
  • We will send in 10–14 business days.
The book "Cognitive and Computational Neuroscience - Principles, Algorithms and Applications" will answer the following question and statements: System-level neural modeling: what and why? We know a lot about the brain! Need to integrate data: molecular/cellular/system levels. Complexity: need to abstract away higher-order principles. Models are tools to develop explicit theories, constrained by multiple levels (neural and behavioral). Key: models (should) make novel testable predictions on bot…
312.09
  • Publisher:
  • Year: 2018
  • Pages: 106
  • ISBN-10: 1789231884
  • ISBN-13: 9781789231885
  • Format: 17 x 24.4 x 0.8 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Cognitive and Computational Neuroscience (e-book) (used book) | bookbook.eu

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The book "Cognitive and Computational Neuroscience - Principles, Algorithms and Applications" will answer the following question and statements: System-level neural modeling: what and why? We know a lot about the brain! Need to integrate data: molecular/cellular/system levels. Complexity: need to abstract away higher-order principles. Models are tools to develop explicit theories, constrained by multiple levels (neural and behavioral). Key: models (should) make novel testable predictions on both neural and behavioral levels. Models are useful tools for guiding experiments. The hope is that the information provided in this book will trigger new researches that will help to connect basic neuroscience to clinical medicine.

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  • Publisher:
  • Year: 2018
  • Pages: 106
  • ISBN-10: 1789231884
  • ISBN-13: 9781789231885
  • Format: 17 x 24.4 x 0.8 cm, kieti viršeliai
  • Language: English English

The book "Cognitive and Computational Neuroscience - Principles, Algorithms and Applications" will answer the following question and statements: System-level neural modeling: what and why? We know a lot about the brain! Need to integrate data: molecular/cellular/system levels. Complexity: need to abstract away higher-order principles. Models are tools to develop explicit theories, constrained by multiple levels (neural and behavioral). Key: models (should) make novel testable predictions on both neural and behavioral levels. Models are useful tools for guiding experiments. The hope is that the information provided in this book will trigger new researches that will help to connect basic neuroscience to clinical medicine.

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