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Mathematical neuroscience / Alla Borisyuk [and others].

Contributor(s): Material type: TextTextSeries: Tutorials in mathematical biosciences ; 1. | Lecture notes in mathematics (Springer-Verlag) ; 1860. | Lecture notes in mathematics (Springer-Verlag). Mathematical biosciences subseries.Publication details: Berlin ; New York : Springer, ©2005.Description: 1 online resource (ix, 170 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 3540238581
  • 9783540238584
  • 9783540315445
  • 3540315446
  • 9786611401757
  • 661140175X
Subject(s): Additional physical formats: Print version:: Mathematical neuroscience.DDC classification:
  • 510 s 612.8/0151 22
LOC classification:
  • QA3 .L28 no. 1860
NLM classification:
  • WL 100
Online resources: In: Springer e-booksSummary: This volume introduces some basic theories on computational neuroscience. Chapter 1 is a brief introduction to neurons, tailored to the subsequent chapters. Chapter 2 is a self-contained introduction to dynamical systems and bifurcation theory, oriented towards neuronal dynamics. The theory is illustrated with a model of Parkinson's disease. Chapter 3 reviews the theory of coupled neural oscillators observed throughout the nervous systems at all levels; it describes how oscillations arise, what pattern they take, and how they depend on excitory or inhibitory synaptic connections. Chapter 4 specializes to one particular neuronal system, namely, the auditory system. It includes a self-contained introduction, from the anatomy and physiology of the inner ear to the neuronal network that connects the hair cells to the cortex, and describes various models of subsystems.
Holdings
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eBook eBook e-Library eBook LN Mathematic Available
Total holds: 0

"These lectures are based on material which was presented in tutorials or developed by visitors and postdoctoral fellows of the Mathematical Biosciences Institute (MBI), at The Ohio State University"--Preface.

Includes bibliographical references and index.

This volume introduces some basic theories on computational neuroscience. Chapter 1 is a brief introduction to neurons, tailored to the subsequent chapters. Chapter 2 is a self-contained introduction to dynamical systems and bifurcation theory, oriented towards neuronal dynamics. The theory is illustrated with a model of Parkinson's disease. Chapter 3 reviews the theory of coupled neural oscillators observed throughout the nervous systems at all levels; it describes how oscillations arise, what pattern they take, and how they depend on excitory or inhibitory synaptic connections. Chapter 4 specializes to one particular neuronal system, namely, the auditory system. It includes a self-contained introduction, from the anatomy and physiology of the inner ear to the neuronal network that connects the hair cells to the cortex, and describes various models of subsystems.

English.

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