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Computational Neuroscience: A Comprehensive Approach (Chapman & Hall/CRC Mathematical & Computational Biology)
 
 
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Computational Neuroscience: A Comprehensive Approach (Chapman & Hall/CRC Mathematical & Computational Biology) [Hardcover]

Jianfeng Feng (Editor)

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Book Description

1584883626 978-1584883623 October 20, 2003 1
How does the brain work? After a century of research, we still lack a coherent view of how neurons process signals and control our activities. But as the field of computational neuroscience continues to evolve, we find that it provides a theoretical foundation and a set of technological approaches that can significantly enhance our understanding.

Computational Neuroscience: A Comprehensive Approach provides a unified treatment of the mathematical theory of the nervous system and presents concrete examples demonstrating how computational techniques can illuminate difficult neuroscience problems. In chapters contributed by top researchers, the book introduces the basic mathematical concepts, then examines modeling at all levels, from single-channel and single neuron modeling to neuronal networks and system-level modeling. The emphasis is on models with close ties to experimental observations and data, and the authors review application of the models to systems such as olfactory bulbs, fly vision, and sensorymotor systems.

Understanding the nature and limits of the strategies neural systems employ to process and transmit sensory information stands among the most exciting and difficult challenges faced by modern science. This book clearly shows how computational neuroscience has and will continue to help meet that challenge.

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Inside This Book (learn more)
First Sentence:
This chapter contains a mathematical foundation for the chapters follow. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
readout neurons, plate tangential cells, conditional intensity function, balanced neuron, oxytocin cells, postsynaptic rate, head direction space, train data series, spatial view cells, time interval omission, input spike trains, motion vision system, firing variability, synaptic time constants, idiothetic inputs, apparent open times, local motion detection, subtractive constraints, whisker system, vasopressin cells, neural microcircuits, anticipatory compensation, postsynaptic firing rate, stiffness modulation, electrosensory processing
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Journal of Neuroscience, Oxford University Press, Brain Res, Comprehensive Approach, Cambridge University Press, Academic Press, Vision Res, Biological Cybernetics, Monte Carlo, Annual Reviews, Journal of Neurophysiology, Trends Neurosci, Nature Neuroscience, Plenum Press, Neural Information Processing Systems, Theoretical Neurobiology, Cell Tissue Res, Experimental Psychology, Neuroscience Letters, Ruyter van Steveninck, San Diego, Biophysics of Computation, Journal of Comparative Neurology, Journal of Neurobiology
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