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2 edition of Rhythmogenesis in neurons and networks found in the catalog.

Rhythmogenesis in neurons and networks

Göttinger Neurobiologentagung. (20th 1992)

Rhythmogenesis in neurons and networks

proceedings of the 20th Göttingen Neurobiology Conference = Beiträge zur 20. Göttinger Neurobiologentagung

by Göttinger Neurobiologentagung. (20th 1992)

  • 37 Want to read
  • 14 Currently reading

Published by G. Thieme in Stuttgart, New York .
Written in English

    Subjects:
  • Neural circuitry -- Congresses.,
  • Neurons -- Congresses.,
  • Rhythm -- Congresses.

  • Edition Notes

    Includes bibliographical references.

    Statementedited by Norbert Elsner and Diethelm W. Richter.
    ContributionsElsner, Norbert, 1940-, Richter, Diethelm W.
    Classifications
    LC ClassificationsQP363.3 .G68 1992
    The Physical Object
    Pagination964 p. :
    Number of Pages964
    ID Numbers
    Open LibraryOL19624989M

    Recent advances in motor behavior research rely on detailed knowledge of the characteristics of the neurons and networks that generate motor behavior. At the cellular level, Neurons, Networks, and Motor Behavior describes the computational characteristics of individual neurons and how these characteristics are modified by neuromodulators. At the network and behavioral levels, the volume. Modulation alters CPG neuron complement by switching neurons between networks and fusing formerly separate networks into larger entities. A single neuronal network, such as a central pattern generator, can be modulated moment-to-moment to produce several different physical actions depending on the needs of the animal.

    This report surveys some connections between Boolean functions and artificial neural networks. The focus is on cases in which the individual neurons are linear threshold neu-rons, sigmoid neurons, polynomial threshold neurons, or spiking neurons. We explore the relationships between types of artificial neural network and classes of Boolean Missing: Rhythmogenesis. The neural mechanisms responsible for respiratory rhythmogenesis in mammals were studied first in vivo in adults and subsequently in vitro in neonates. In vitro data have suggested that the pacemaker neurons are the kernel of the respiratory network. These data are reviewed, and their relevance to adults is by:

      Each neuron is connected to another 1, neurons, creating an incredibly complex network of communication. Neurons are considered the . In fact, it has been postulated that bursting neurons might serve as pacemaker in network oscillations. Consequently, in this review, we will discuss and use the term rhythmogenesis to refer both to the generation of rhythmic patterns of action potentials at the cellular level and to the generation of the large-scale brain by: 9.


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Rhythmogenesis in neurons and networks by Göttinger Neurobiologentagung. (20th 1992) Download PDF EPUB FB2

Get this from a library. Rhythmogenesis in neurons and networks: proceedings of the 20th Göttingen Neurobiology Conference = Beiträge zur Göttinger Neurobiologentagung. [Norbert Elsner; Diethelm W. Generation of rhythmic activity in numerous systems has been shown to depend on electrical coupling.

Small networks provide a strong advantage for studying electrical coupling because, thanks to the accessibility and limited number of neurons, their role in network activity and even behavior can be determined accurately and rigorously.

In a realistic network model, both Golgi and granule cells start firing synchronously and at very regular time intervals upon stimulation of granule cells with random mossy fiber input ([3]).

Because the granule cell population is disproportionately large, we wondered whether the massive convergence from granule to Golgi cells were essential to Cited by: from book Convergence Properties of a Modified Temporal Anti-Hebbian Model.

The Critical Synaptic Number for Rhythmogenesis and Synchronization in a Network Model of. Using vertebrate locomotion, respiration and mastication as exemplars, I describe four main principles of rhythmogenesis: (1) rhythmogenic ionic currents underlie all CPG networks, regardless of whether they are driven by a network pacemaker or an endogenous pacemaker neuron Rhythmogenesis in neurons and networks book (2) fast synaptic transmission often evokes slow currents that can affect cycle frequency; (3) there are likely to be multiple and redundant mechanisms for rhythmogenesis Cited by: At the basic neuroscience level, the volume explores the functional organization of neuronal networks responsible for processing sensory inputs and generating motor outputs and the genes that control the assembly of these : Paperback.

You can write a book review and share your experiences. Other readers will always be interested in your opinion of the books you've read. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. Rhythmogenesis in these neural circuits lies on several mechanisms, both at the cellular and the network levels.

In this chapter, we compare the anatomical organization of the axial networks, the. Brief stimulation of a single cell in a resting network produces multiple synchronized population bursts, with fast AMPA synapses providing the dominant synchronizing mechanism.

The number of bursts increases with the level of maximal NMDA by: Harvard University Press is proud to announce the second edition of a widely admired introductory textbook. When first published, Neurons and Networks filled the need for an introductory neuroscience text that is lucid, accessible, authoritative, logically organized, and concise.

Avoiding the encyclopedic coverage that makes most neuroscience texts overwhelming, Neurons/5(9). The NEURON Book June 9, neither time nor numeric values are continuous.

Chapter 6 returns to the topic of model construction, emphasizing the use of programming. Chapters 7 and 8 provide "inside information" about NEURON’s standard run and initialization systems, so that readers can make best use of their features and customizeFile Size: 37KB.

--C. Smith, Times Higher Education Supplement "John Dowling's Neurons and Networks: An Introduction to Neuroscience is a rarity among modern American textbooks. It is written in simple, direct language, it is of modest length, and it is unambiguously focused on explaining a limited set of complex matters clearly rather than providing a Author: John E.

Dowling. The Granular Layer Model. Model Circuitry. The model granular layer is a Wilson-Cowan-like circuit ([5]) with inhibitory neurons (Golgi cell, Gocs), excitatory neurons (granule cells, grcs) and mossy fiber afferents (MFs), all aligned along an array representing the parallel-fiber axis of the cerebellum.

Chapter 4. The Role of Electrical Coupling in Rhythm Generation in Small Networks. Introduction; 2. Rhythmogenesis; 3. Synchronized Oscillations; 4.

Pattern Generation; 5. Neuromodulation; 6. Summary; Outstanding Issues and Future Directions; Chapter 5. Network Functions of Electrical Coupling Present in Multiple and Specific Sites in Behavior-Generating Circuits. In the CPG networks that are discussed in this book, inhibitory synaptic input plays a critical role in shaping the frequency and phasing of the rhythmic motor pattern, but is not essential for rhythmogenesis: blockade of GABA and glycine inhibition alters but does not abolish the rhythm-generating ability of the CPG, showing that they are not organized entirely on a simple half-center by: 9.

Pinsky PF, Rinzel J. Intrinsic and network rhythmogenesis in a reduced Traub model for CA3 neurons. J Comput Neurosci. Jun; 1 ()– Golomb D, Rinzel J. Dynamics of globally coupled inhibitory neurons with heterogeneity. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. Dec; 48 (6)–Cited by: Intrinsic and network rhythmogenesis in a reduced traub model for CA3 neurons Journalof ComputationalNeuroscience Figure 2, caption: The values given for gNMDAshould be divided by Some of the single-cell simulations were done using VNa = mV (not mV, as stated).Cited by: Harvard University Press is proud to announce the second edition of a widely admired introductory textbook.

When first published, Neurons and Networks filled the need for an introductory neuroscience text that is lucid, accessible, authoritative, logically organized, and concise.4/5(1). Rhythmic motor activities are generated and controlled by neuronal networks organized as central pattern generators (CPG) (Marder and Bucher, ; Harris-Warrick, ).Considerable data accumulated over the last decades from both invertebrate and vertebrate models have established the general mechanistic principle that rhythmogenesis relies on an interplay between intrinsic neuronal Cited by: underlie both the “pacemaker neuron” and “network pacemaker” models for rhythmogenesis.

These features arise out of new research, in part reported in this book, describing the neuronal mechanisms in CPG networks. Below I describe four general principles of rhythmogenesis that could serve to guide future research in this area.

extension of the spinal cord. It contains networks of neurons that constitute centres for the control of vital functions such as breathing and blood pressure.

Within these are networks of neurons whose activity controls these functions. Arising from the roof of the hind-brain is the cerebellum, which plays an absolutely central role in the.Networks, Crowds, and Markets combines different scientific perspectives in its approach to understanding networks and behavior.

Drawing on ideas from economics, sociology, computing and information science, and applied mathematics, it describes the emerging field of study that is growing at the interface of all these areas, addressing Missing: Rhythmogenesis.J Comput Neurosci () – DOI /sy Fluctuation-driven rhythmogenesis in an excitatory neuronal network with slow adaptation.