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Principles of neural design / Peter Sterling and Simon Laughlin.

By: Sterling, Peter, 1940- [author.]Contributor(s): Laughlin, Simon [author.]Material type: TextTextPublisher: Cambridge, Massachusetts ; London, England : The MIT Press, [2015]Copyright date: ©2015Description: 1 online resource (xxiii, 542 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9780262327312; 0262327317Subject(s): Brain -- Physiology | Neural circuitry | Learning | Nervous System | Biological Science Disciplines | Psychology, Educational | Mental Processes | Central Nervous System | Natural Science Disciplines | Anatomy | Psychological Phenomena and Processes | Psychology, Applied | Disciplines and Occupations | Psychiatry and Psychology | Learning | Brain | Neural Pathways | Physiology | MEDICAL -- Physiology | SCIENCE -- Life Sciences -- Human Anatomy & Physiology | SCIENCE -- Life Sciences -- Neuroscience | Brain -- Physiology | Learning | Neural circuitry | NEUROSCIENCE/GeneralGenre/Form: Electronic book | Electronic books Additional physical formats: Print version:: Principles of neural designDDC classification: 612.8/2 LOC classification: QP376 | .S765 2015eNLM classification: WL 300Online resources: Click here to access online
Contents:
What engineers know about design -- Why an animal needs a brain -- Why a bigger brain? -- How bigger brains are organized -- Information processing : from molecules to molecular circuits -- Information processing in protein circuits -- Design of neurons -- How photoreceptors optimize the capture of visual information -- The fly lamina : an efficient interface for high-speed vision -- Design of neural circuits : recoding analogue signals to pulsatile -- Principles of retinal design -- Beyond the retina : pathways to perception and action -- Principles of efficient wiring -- Learning as design/design of learning.
Summary: "Neuroscience research has exploded, with more than fifty thousand neuroscientists applying increasingly advanced methods. A mountain of new facts and mechanisms has emerged. And yet a principled framework to organize this knowledge has been missing. In this book, Peter Sterling and Simon Laughlin, two leading neuroscientists, strive to fill this gap, outlining a set of organizing principles to explain the whys of neural design that allow the brain to compute so efficiently. Setting out to 'reverse engineer' the brain--disassembling it to understand it--Sterling and Laughlin first consider why an animal should need a brain, tracing computational abilities from bacterium to protozoan to worm. They examine bigger brains and the advantages of 'anticipatory regulation'; identify constraints on neural design and the need to 'nanofy'; and demonstrate the routes to efficiency in an integrated molecular system, phototransduction. They show that the principles of neural design at finer scales and lower levels apply at larger scales and higher levels; describe neural wiring efficiency; and discuss learning as a principle of biological design that includes 'save only what is needed.' Sterling and Laughlin avoid speculation about how the brain might work and endeavor to make sense of what is already known. Their distinctive contribution is to gather a coherent set of basic rules and exemplify them across spatial and functional scales"--MIT CogNet.
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Includes bibliographical references (pages 465-518) and index.

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"Neuroscience research has exploded, with more than fifty thousand neuroscientists applying increasingly advanced methods. A mountain of new facts and mechanisms has emerged. And yet a principled framework to organize this knowledge has been missing. In this book, Peter Sterling and Simon Laughlin, two leading neuroscientists, strive to fill this gap, outlining a set of organizing principles to explain the whys of neural design that allow the brain to compute so efficiently. Setting out to 'reverse engineer' the brain--disassembling it to understand it--Sterling and Laughlin first consider why an animal should need a brain, tracing computational abilities from bacterium to protozoan to worm. They examine bigger brains and the advantages of 'anticipatory regulation'; identify constraints on neural design and the need to 'nanofy'; and demonstrate the routes to efficiency in an integrated molecular system, phototransduction. They show that the principles of neural design at finer scales and lower levels apply at larger scales and higher levels; describe neural wiring efficiency; and discuss learning as a principle of biological design that includes 'save only what is needed.' Sterling and Laughlin avoid speculation about how the brain might work and endeavor to make sense of what is already known. Their distinctive contribution is to gather a coherent set of basic rules and exemplify them across spatial and functional scales"--MIT CogNet.

What engineers know about design -- Why an animal needs a brain -- Why a bigger brain? -- How bigger brains are organized -- Information processing : from molecules to molecular circuits -- Information processing in protein circuits -- Design of neurons -- How photoreceptors optimize the capture of visual information -- The fly lamina : an efficient interface for high-speed vision -- Design of neural circuits : recoding analogue signals to pulsatile -- Principles of retinal design -- Beyond the retina : pathways to perception and action -- Principles of efficient wiring -- Learning as design/design of learning.

English.

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Principles of neural design by Sterling, Peter ©2015

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