Cortex Statistics And Geometry Of Neuronal Connectivity

Author : Valentino Braitenberg
Publisher : Springer Science & Business Media
ISBN 13 : 3662037335
Total Pages : 243 pages
Book Rating : 4.31/5 ( download)

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Download or read book Cortex: Statistics and Geometry of Neuronal Connectivity written by Valentino Braitenberg and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: By means of quantitative analysis of the tissue components in the cortex of the mouse, this book presents an overall picture of the cortical network which is then related to various theories on cortical function. Centering around the idea of a diffuse network in a fairly homogeneous population of excitatory neurons, that of the pyramidal cells, it shows that the whole organisation in the cortical skeleton of pryramidal cells corresponds well with the idea of an associative memory and with the theory of cell assemblies. Provides the reader with information on quantitative neuroanatomy and also on the methods used, in particular those that vary from the norm.

Author : Valentino Braitenberg
Publisher :
ISBN 13 : 9783662037348
Total Pages : 268 pages
Book Rating : 4.43/5 ( download)

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Download or read book Cortex written by Valentino Braitenberg and published by . This book was released on 2014-01-15 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Valentino Braitenberg
Publisher : Springer
ISBN 13 :
Total Pages : 268 pages
Book Rating : 4.29/5 ( download)

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Download or read book Anatomy of the Cortex written by Valentino Braitenberg and published by Springer. This book was released on 1991 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this essay we propose a view of the cerebral cortex from an unusual angle, determined by our search for the most general statements on the relation between cortical structure and function. Our results may be at variance with the ideas of those physiologists who have specialized subsystems of the cortex in mind, but are not in contrast with them, as we hope to show. Our view is akin to one presented by Moshe Abeles in his monograph Local Cortical Circuits ( 1982). It is related to the theory developed by Gunther Palm, for many years our partner, in Neural Assemblies (1982). It owes much to the ideas which inspire the work of George Gerstein (beginning with the classic: Gerstein 1962) and especially to the insights gained by our colleague Ad Aertsen and his group in TUbingen. Our ideas on the cortex find some resonance in a recent trend in Artificial Intelligence (Kohonen 1977; Hopfield 1982; Rumelhart et al. 1986), and indeed the diagram (Braitenberg 1974a) representing the dominant idea of that trend, the associative matrix with feedback, has served as an emblem for the editorial enterprise Studies of Brain Function since its inception in 1977. Since our earlier reports (Braitenberg 1974a,b, 1977, 1978a,b, 1986; Schilz 1976, 1978, 198la,b, 1986) enough new experimental evidence has accumulated in our own laboratory (summarized by Schilz 1989) and elsewhere to justify a more extended and more confident presen tation.

Author : Julian M L Budd
Publisher : Frontiers Media SA
ISBN 13 : 2889197964
Total Pages : 246 pages
Book Rating : 4.65/5 ( download)

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Download or read book Quantitative analysis of neuroanatomy written by Julian M L Budd and published by Frontiers Media SA. This book was released on 2016-03-22 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: The true revolution in the age of digital neuroanatomy is the ability to extensively quantify anatomical structures and thus investigate structure-function relationships in great detail. Large-scale projects were recently launched with the aim of providing infrastructure for brain simulations. These projects will increase the need for a precise understanding of brain structure, e.g., through statistical analysis and models. From articles in this Research Topic, we identify three main themes that clearly illustrate how new quantitative approaches are helping advance our understanding of neural structure and function. First, new approaches to reconstruct neurons and circuits from empirical data are aiding neuroanatomical mapping. Second, methods are introduced to improve understanding of the underlying principles of organization. Third, by combining existing knowledge from lower levels of organization, models can be used to make testable predictions about a higher-level organization where knowledge is absent or poor. This latter approach is useful for examining statistical properties of specific network connectivity when current experimental methods have not yet been able to fully reconstruct whole circuits of more than a few hundred neurons.

Author : Michael A. Arbib
Publisher : MIT Press
ISBN 13 : 0262335271
Total Pages : 808 pages
Book Rating : 4.70/5 ( download)

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Download or read book From Neuron to Cognition via Computational Neuroscience written by Michael A. Arbib and published by MIT Press. This book was released on 2016-11-04 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior. The chapters—all by leaders in the field, and carefully integrated by the editors—cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language—the core of human cognition. The book can be used for advanced undergraduate or graduate level courses. It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain. Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python. Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter). Contributors Michael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J. Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P. Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A. Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W. Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A. Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L. Yuille

Author : Michael A. Arbib
Publisher : MIT Press
ISBN 13 : 0262011972
Total Pages : 1328 pages
Book Rating : 4.76/5 ( download)

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Download or read book The Handbook of Brain Theory and Neural Networks written by Michael A. Arbib and published by MIT Press. This book was released on 2003 with total page 1328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).

Author : Takao K. Hensch
Publisher : Springer Science & Business Media
ISBN 13 : 1461500397
Total Pages : 286 pages
Book Rating : 4.91/5 ( download)

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Download or read book Excitatory-Inhibitory Balance written by Takao K. Hensch and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new perspective on brain function depends upon an understanding of the interaction and integration of excitation and inhibition. A recent surge in research activity focused on inhibitory interneurons now makes a more balanced view possible. Technological advances such as improved imaging methods, visualized patch-clamp recording, multiplex single-cell PCR, and gene-targeted deletion or knock-in mice are some of the novel tools featured in this book. This book will provide an integrated view of neuron function, operating in a balanced regime of excitation and inhibition. It is a timely contribution emphasizing how this balance is established, maintained, and modified from the molecular to system levels. The broad spectrum of topics from molecular to cellular and system/computational neuroscience will appeal to a wide audience of advanced graduate students, post-docs, and faculty. Moreover, this book this book features active young researchers from around the world, who are currently educating the brain scientists of tomorrow.

Author : Licheng Jiao
Publisher : Springer
ISBN 13 : 3540459022
Total Pages : 1030 pages
Book Rating : 4.26/5 ( download)

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Download or read book Advances in Natural Computation written by Licheng Jiao and published by Springer. This book was released on 2006-09-28 with total page 1030 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is volume I of the proceedings of the Second International Conference on Natural Computation, ICNC 2006. After a demanding review process 168 carefully revised full papers and 86 revised short papers were selected from 1915 submissions for presentation in two volumes. This first volume includes 130 papers related to artificial neural networks, natural neural systems and cognitive science, neural network applications, as well as evolutionary computation: theory and algorithms.

Author : Basabdatta Sen Bhattacharya
Publisher : Springer
ISBN 13 : 3319200372
Total Pages : 329 pages
Book Rating : 4.78/5 ( download)

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Download or read book Validating Neuro-Computational Models of Neurological and Psychiatric Disorders written by Basabdatta Sen Bhattacharya and published by Springer. This book was released on 2015-10-30 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of articles by leading researchers working at the cutting edge of neuro-computational modelling of neurological and psychiatric disorders. Each article contains model validation techniques used in the context of the specific problem being studied. Validation is essential for neuro-inspired computational models to become useful tools in the understanding and treatment of disease conditions. Currently, the immense diversity in neuro-computational modelling approaches for investigating brain diseases has created the need for a structured and coordinated approach to benchmark and standardise validation methods and techniques in this field of research. This book serves as a step towards a systematic approach to validation of neuro-computational models used for studying brain diseases and should be useful for all neuro-computational modellers.

Author : Bernadete Ribeiro
Publisher : Springer Science & Business Media
ISBN 13 : 3211273891
Total Pages : 561 pages
Book Rating : 4.90/5 ( download)

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Download or read book Adaptive and Natural Computing Algorithms written by Bernadete Ribeiro and published by Springer Science & Business Media. This book was released on 2005-12-12 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area. Starting in Innsbruck, in Austria (1993), then to Ales in Prance (1995), Norwich in England (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001) and finally Roanne, in France (2003), the ICANNGA series has established itself for experienced workers in the field. The series has also been of value to young researchers wishing both to extend their knowledge and experience and also to meet internationally renowned experts. The 2005 Conference, the seventh in the ICANNGA series, will take place at the University of Coimbra in Portugal, drawing on the experience of previous events, and following the same general model, combining technical sessions, including plenary lectures by renowned scientists, with tutorials.