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The Computational Brain (Computational Neuroscience)
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How Do Groups Of Neurons Interact To Enable The Organism To See, Decide, And Move Appropriately? What Are The Principles Whereby Networks Of Neurons Represent And Compute? These Are The Central Questions Probed Bythe Computational Brain. Churchland And Sejnowski Address The Foundational Ideas Of The Emerging Field Of Computational Neuroscience, Examine A Diverse Range Of Neural Network Models, And Consider Future Directions Of The Field.The Computational Brain Is The First Unified And Broadly Accessible Book To Bring Together Computational Concepts And Behavioral Data Within A Neurobiological Framework.Computer Models Constrained By Neurobiological Data Can Help Reveal How Networks Of Neurons Subserve Perception And Behavior Bow Their Physical Interactions Can Yield Global Results In Perception And Behavior, And How Their Physical Properties Are Used To Code Information And Compute Solutions. The Computational Brain Focuses Mainly On Three Domains: Visual Perception, Learning And Memory, And Sensorimotor Integration. Examples Of Recent Computer Models In These Domains Are Discussed In Detail, Highlighting Strengths And Weaknesses, And Extracting Principles Applicable To Other Domains. Churchland And Sejnowski Show How Both Abstract Models And Neurobiologically Realistic Models Can Have Useful Roles In Computational Neuroscience, And They Predict The Coevolution Of Models And Experiments At Many Levels Of Organization, From The Neuron To The System.The Computational Brain Addresses A Broad Audience: Neuroscientists, Computer Scientists, Cognitive Scientists, And Philosophers. It Is Written For Both The Expert And Novice. A Basic Overview Of Neuroscience And Computational Theory Is Provided, Followed By A Study Of Some Of The Most Recent And Sophisticated Modeling Work In The Context Of Relevant Neurobiological Research. Technical Terms Are Clearly Explained In The Text, And Definitions Are Provided In An Extensive Glossary. The Appendix Contains A Prcis Of Neurobiological Techniques.The Computational Brain Is The First Unified And Broadly Accessible Book To Bring Together Computational Concepts And Behavioral Data Within A Neurobiological Framework. Churchland And Sejnowski Address The Foundational Ideas Of The Emerging Field Of Computational Neuroscience, Examine A Diverse Range Of Neural Network Models, And Consider Future Directions Of The Field.A Bradford Bookcomputational Neuroscience Series
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- Q: What is the page count of The Computational Brain? A: The Computational Brain has five hundred sixty pages. This extensive length allows for a thorough exploration of computational neuroscience.
- Q: What are the dimensions of The Computational Brain? A: The book measures seven point five two inches in length, one point five inches in width, and ten point seven five inches in height. These dimensions make it a standard hardcover size.
- Q: What type of binding does The Computational Brain have? A: The Computational Brain is bound in hardcover. This ensures durability and longevity for readers.
- Q: Who are the authors of The Computational Brain? A: The book is authored by Patricia Smith Churchland and Terrence J. Sejnowski. Both are prominent figures in the field of computational neuroscience.
- Q: What is the primary focus of The Computational Brain? A: The primary focus is on how networks of neurons enable perception, decision-making, and motor actions. It delves into computational concepts within a neurobiological framework.
- Q: What audience is The Computational Brain suitable for? A: The book is suitable for neuroscientists, computer scientists, cognitive scientists, and philosophers. It caters to both experts and novices.
- Q: How can I use the insights from The Computational Brain? A: You can apply the insights to understand neural networks and their roles in behavior and perception. It provides a foundation for further study in computational neuroscience.
- Q: Is The Computational Brain suitable for beginners? A: Yes, The Computational Brain is suitable for beginners. It includes a basic overview of neuroscience and computational theory.
- Q: What topics does The Computational Brain cover? A: The book covers visual perception, learning and memory, and sensorimotor integration. These topics are critical in understanding computational neuroscience.
- Q: How should I care for The Computational Brain? A: To care for the book, keep it in a dry, cool place and avoid exposure to direct sunlight. This helps preserve its binding and pages.
- Q: Is there a glossary in The Computational Brain? A: Yes, there is an extensive glossary included. It defines technical terms throughout the text for better understanding.
- Q: What if The Computational Brain arrives damaged? A: If the book arrives damaged, contact the retailer for their return policy. Most will offer a replacement or refund.
- Q: Does The Computational Brain include an appendix? A: Yes, it includes an appendix that summarizes neurobiological techniques. This can be useful for readers interested in practical applications.
- Q: Is The Computational Brain applicable to other fields? A: Yes, the principles discussed can be applicable across various fields, including psychology and artificial intelligence. Its interdisciplinary approach enhances its relevance.
- Q: Can I find recent modeling work in The Computational Brain? A: Yes, the book discusses recent computer models in detail. It highlights strengths and weaknesses relevant to neural network applications.