Coherent behavior in neuronal networks

by Kres̆imir Josić

Publisher: Springer in New York

Written in English
Cover of: Coherent behavior in neuronal networks | Kres̆imir Josić
Published: Pages: 304 Downloads: 75
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Subjects:

  • Neurosciences,
  • Computational neuroscience

Edition Notes

Includes bibliographical references and index.

StatementKrešimir Josić... [et al.], editors
SeriesSpringer series in computational neuroscience -- v. 3, Springer series in computational neuroscience -- v. 3.
Classifications
LC ClassificationsQP355.2 .C64 2009
The Physical Object
Paginationxi, 304 p. :
Number of Pages304
ID Numbers
Open LibraryOL24913614M
ISBN 101441903887
ISBN 109781441903884
LC Control Number2009926178
OCLC/WorldCa432990376

This book has been cited by the following publications. This list is generated based on data provided by CrossRef. Naud, Richard Bathellier, Brice and Gerstner, Wulfram Cited by: the behavior. (3) Neuron-behavior correla-tions are influenced by variability in external factors such as the visual stimuli used, the difficulty of the task, or aspects of the animal’s cognitive state such as its eneuron-behavior correlations are typically measured in one neuron per experimental session, day-to-. Coordinated Activity in the Brain by Jose Luis Perez Velazquez, , available at Book Depository with free delivery worldwide. Since the appearance of Vol. 1 of Models of Neural Networks in , the theory of neural nets has focused on two paradigms: information coding through coherent firing of the neurons and functional feedback. Information coding through coherent neuronal firing exploits time as a cardinal degree of freedom. This capacity of a neural network rests on the fact that the neuronal action potential is.

Coherence Definitions of Coherence Clarity of thought, speech and emotional composure The quality of being orderly, consistent and intelligible (e.g. a coherent sentence). Synchronization or entrainment between multiple waveforms A constructive waveform produced by two or more waves that are phase- or frequency-locked. Order within a singular oscillatory waveform An ordered or constructive. Neuronal responses to identically presented stimuli are extremely variable. This variability has in the past often been regarded as “noise.” At the single neuron level, interspike interval (ISI) histograms constructed during either spontaneous or stimulus-evoked activity reveal a Poisson type distribution. These observations have been taken as evidence that neurons are intrinsically. Coherent Behavior In Neuronal Networks Ranulfo Romo. European, if they use fire at all, panel talks, decades of US scare-mongering, locally, however, to answer this question, and he played, but mostly in lip service, much to Israel’s dismay, a worthy colleague, stop it. Neural Networks and Modeling of Neuronal Networks BAG RAT AMIRIKIAN • Introduction The past decades have seen an explosive growth in accumulation of experimental data in neuroscience research. The detailed anatomical and physiological data alone, howev­ er, are not enough to understand how the nervous system works. It is the recognition of.

  Over the course of development, humans learn myriad facts about items in the world, and naturally group these items into useful categories and structures. This semantic knowledge is essential for diverse behaviors and inferences in adulthood. How is this richly structured semantic knowledge acquired, organized, deployed, and represented by neuronal networks in the brain?Cited by:   Coherent Behavior in Neuronal Networks, () Local enrichment and its nonlocal consequences for victim–exploiter metapopulations. Physica D: Cited by:

Coherent behavior in neuronal networks by Kres̆imir Josić Download PDF EPUB FB2

Coherent Behavior in Neuronal Networks features a review of recent research in this area from some of the world’s foremost experts on systems neuroscience.

The book presents novel methodologies and interdisciplinary perspectives, and will serve as an invaluable resource to the research community. Coherent Behavior in Neuronal Networks features a review of recent research in this area from some of the world’s foremost experts on systems neuroscience.

The book presents novel methodologies and interdisciplinary perspectives, and will serve as an Brand: Springer New York. Note: If you're looking for a free download links of Coherent Behavior in Neuronal Networks (Springer Series in Computational Neuroscience) Pdf, epub, docx and torrent then this site is not for you.

only do ebook promotions online and we does Coherent behavior in neuronal networks book. Coherent Behavior in Neuronal Networks features a review of recent research in this area from some of the world's foremost experts on systems neuroscience.

It contains cutting-edge mathematical, statistical, and computational techniques. Get this from a library. Coherent behavior in neuronal networks. [Kres̆imir Josić;] -- Experimental research advances have led to increasingly detailed descriptions of how networks of interacting neurons process information.

This work features a review of the research in this area from. Josic / Rubin / Matias / Romo, Coherent Behavior in Neuronal Networks,Buch, Bücher schnell und portofrei. Dykes Book Stacks (2nd Floor) (Kansas City) Call Number: WL 20 M Copy: Available.

Similar Items. Coherent behavior in neuronal networks Published: () Single neuron computation / Published: () Plasticity. Coherent Behavior in Neuronal Networks features a review of recent research in this area from some of the world's foremost experts on systems neuroscience.

The book presents novel methodologies and interdisciplinary perspectives, and will serve as an invaluable resource to the research : Kresimir Josic; Jonathan Rubin; Manuel Matias. Pris: kr.

Häftad, Skickas inom vardagar. Köp Coherent Behavior in Neuronal Networks av Kresimir Josic, Jonathan Rubin, Manuel Matias, Ranulfo Romo på   Coherent behavior in neuronal networks by Kres̆imir Josić,Springer edition, in EnglishPages:   Coherent Behavior in Neuronal Networks Recent experimental research advances have led to increasingly detailed descriptions of how networks of interacting neurons process information.

With these developments, it has become clear that dynamic network behaviors underlie information processing, and that the observed activity patterns cannot be Author: George Andreopoulos. Coherent Behavior in Neuronal Networks features a review of recent research in this area from some of the world's foremost experts on systems neuroscience.

The book presents novel methodologies and interdisciplinary perspectives, and will serve as an invaluable resource to the research community. Sporns emphasizes how networks connect levels of organization in the brain and how they link structure to function, offering an informal and nonmathematical treatment of the subject.

Networks of the Brain provides a synthesis of the sciences of complex networks and the brain that will be an essential foundation for future by: Rangan, A, Tao, L, Kovacic, G & Cai, SLarge-scale computational modeling of the primary visual cortex.

in K Josic, MA Matias, R Romo & J Rubin (eds), Coherent behavior in neuronal networks. Springer Series in Computational Neuroscience, vol. 3, Springer-Verlag, pp. Cited by: 8. Author(s): Josić,Kres̆imir, Title(s): Coherent behavior in neuronal networks/ Krešimir Josić [et al.], editors.

Country of Publication: Netherlands. Coherent behavior in neuronal networks Published: () Single neuron computation / Published: () Plasticity in the visual system from genes to circuits / Published: ().

Coherent Behavior in Neuronal Networks Recent experimental research advances have led to increasingly detailed descriptions of how networks of interacting neurons process information. With these developments, it has become clear that dynamic network behaviors underlie information processing, and that the observed activity patterns cannot be Author: Carlo Morselli.

With the story based, however, this classically academic book conveys the neuronal network in interesting way and to the point in terms of a book of hippocampus. My opinion on specific parts or aspects of the book: First, as I quoted below, there are many expressions that indicate the knowledge, information, or researches not being still clear Cited by:   Abstract.

Reverberatory activity in neuronal cell assemblies has been proposed to carry “online” memory traces in the brain. However, the dynamics and cellular mechanism of such reverberation have been difficult to study because of the enormous complexity of intact : Pak-Ming Lau, Guo-Qiang Bi.

Researchers are bridging the gap between brain and behavior with a new large-scale neural model. Researchers have competed fiercely for years to build computational models of the brain with an Author: Emily Waltz. () The Geometry of Spontaneous Spiking in Neuronal Networks.

Journal of Nonlinear Science() Bursting analysis and synapse mechanism of a Cited by: Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics, edited by two leaders in the field, offers a current and complete review of what we know about neural networks.

How the brain accomplishes many of its more complex tasks can only be understood via study of neuronal network control and network interactions. Theoretical Mechanics of Biological Neural Networks presents an extensive and coherent discusson and formulation of the generation and integration of neuroelectric signals in single neurons.

The approach relates computer simulation programs for neurons of arbitrary complexity to fundamental gating processes of transmembrance ionic fluxes of synapses of excitable membranes.

Early treatments of neural networks can be found in Herbert Spencer's Principles of Psychology, 3rd edition (), Theodor Meynert's Psychiatry (), William James' Principles of Psychology (), and Sigmund Freud's Project for a Scientific Psychology (composed ).

The first rule of neuronal learning was described by Hebb inin the Hebbian theory. Coherent Behavior In Neuronal Networks Springer-Verlag New York Michael Okun, Alik Mokeichev, Yonatan Katz (auth.), Kre¿imir Josic, Jonathan Rubin, Manuel Matias, Ranulfo Romo (eds.).

His main interest is theoretical neuroscience. In particular, he is interested in how coherent behavior in neuronal networks is used to encode information. His work in this area has appeared in journals like Nature, Neural Computation and the Journal of Computational Neuroscience.

He is co-editing a soon to appear book on this topic. Analysis of functional neuronal connectivity in the Drosophila brain. Yao Z(1), Macara AM, Lelito KR, Minosyan TY, Shafer OT. Drosophila melanogaster is a valuable model system for the neural basis of complex behavior, but an inability to routinely interrogate physiologic connections within central neural networks of the fly brain remains a Cited by: Neuronal behaviors: A control perspective.

the investigation of neuronal networks in the first place, b ut. neuronal behavior is the behavior of a simple electrical circuit. of neuronal networks in the human brain, and their application to subjects with severe brain injury.

The structural imaging modality, diffusion tensor imaging, is based on imaging the diffusion of water protons in the brain parenchyma. From the diffusion tensor, several quantities characterizing fiber structure in the brain can be derived.

The questions of how a large population of neurons in the brain functions, how synchronized firing of neurons is achieved, and what factors regulate how many and which neurons fire under different conditions form the central theme of this book.

Using a combined experimental-theoretical approach unique in neuroscience, the authors present important new techniques for the physiological.

Networks of the brain is an interesting look at the brain. It relates brain structure and function from a network perspective -specifically integrating graph theory with neuroscience. The book starts by outlining the basics of graph theory/5.Stochastic and coherence resonance in feed-forward-loop neuronal network motifs Article in Physical Review E 79(5 Pt 1) June with 48 Reads How we measure 'reads'.The Plausibility Arguments for Teleportation of Entangled Coherent States either at the bio-molecular level, or the cellular/neuronal level [5,6,7,8,9].

However, a vast majority of the computational models of the behavior of neuronal networks is still mainly based on the integrate-and-fire model of neural function.

Mainstream cognitive File Size: KB.