Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (Computational Neuroscience)
Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. Get and download textbook Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (Computational Neuroscience) for free
Categories: Computational neuroscience, Neural networks (Neurobiology). Contributors: Peter Dayan - Author. Format: Paperback
This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role Theoretical Neuroscience new edition
Download free books for Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems: LF Abbott, Peter Dayan
Categories: Computational neuroscience, Neural networks (Neurobiology). Contributors: Peter Dayan - Author. Format: Paperback
Categories: Computational neuroscience, Neural networks (Neurobiology). Contributors: Peter Dayan - Author. Format: Paperback
Categories: Computational neuroscience. Contributors: Peter Dayan - Author. Format: Hardcover
Theoretical Neuroscience Textbook
This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics
his text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role
