Emergent Neural Computation From The Interaction Of Different Forms Of Plasticity
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Emergent Neural Computation From The Interaction Of Different Forms Of Plasticity
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Author : Cristina Savin
language : en
Publisher: Frontiers Media SA
Release Date : 2016-03-22
Emergent Neural Computation From The Interaction Of Different Forms Of Plasticity written by Cristina Savin and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-22 with Computational neuroscience categories.
From the propagation of neural activity through synapses, to the integration of signals in the dendritic arbor, and the processes determining action potential generation, virtually all aspects of neural processing are plastic. This plasticity underlies the remarkable versatility and robustness of cortical circuits: it enables the brain to learn regularities in its sensory inputs, to remember the past, and to recover function after injury. While much of the research into learning and memory has focused on forms of Hebbian plasticity at excitatory synapses (LTD/LTP, STDP), several other plasticity mechanisms have been characterized experimentally, including the plasticity of inhibitory circuits (Kullmann, 2012), synaptic scaling (Turrigiano, 2011) and intrinsic plasticity (Zhang and Linden, 2003). However, our current understanding of the computational roles of these plasticity mechanisms remains rudimentary at best. While traditionally they are assumed to serve a homeostatic purpose, counterbalancing the destabilizing effects of Hebbian learning, recent work suggests that they can have a profound impact on circuit function (Savin 2010, Vogels 2011, Keck 2012). Hence, theoretical investigation into the functional implications of these mechanisms may shed new light on the computational principles at work in neural circuits. This Research Topic of Frontiers in Computational Neuroscience aims to bring together recent advances in theoretical modeling of different plasticity mechanisms and of their contributions to circuit function. Topics of interest include the computational roles of plasticity of inhibitory circuitry, metaplasticity, synaptic scaling, intrinsic plasticity, plasticity within the dendritic arbor and in particular studies on the interplay between homeostatic and Hebbian plasticity, and their joint contribution to network function.
Artificial Neural Networks And Machine Learning Icann 2016
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Author : Alessandro E.P. Villa
language : en
Publisher: Springer
Release Date : 2016-08-26
Artificial Neural Networks And Machine Learning Icann 2016 written by Alessandro E.P. Villa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-26 with Computers categories.
The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.
Psychology Around Us
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Author : Nancy Ogden
language : en
Publisher: John Wiley & Sons
Release Date : 2021-06-28
Psychology Around Us written by Nancy Ogden and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-28 with Psychology categories.
Psychology Around Us, Fourth Canadian Edition offers students a wealth of tools and content in a structured learning environment that is designed to draw students in and hold their interest in the subject. Psychology Around Us is available with WileyPLUS, giving instructors the freedom and flexibility to tailor curated content and easily customize their course with their own material. It provides today's digital students with a wide array of media content — videos, interactive graphics, animations, adaptive practice — integrated at the learning objective level to provide students with a clear and engaging path through the material. Psychology Around Us is filled with interesting research and abundant opportunities to apply concepts in a real-life context. Students will become energized by the material as they realize that Psychology is "all around us."
Criticality In Neural Network Behavior And Its Implications For Computational Processing In Healthy And Perturbed Conditions
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Author : Axel Sandvig
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-03
Criticality In Neural Network Behavior And Its Implications For Computational Processing In Healthy And Perturbed Conditions written by Axel Sandvig and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-03 with Science categories.
Emerging Technologies And Systems For Biologically Plausible Implementations Of Neural Functions
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Author : Erika Covi
language : en
Publisher: Frontiers Media SA
Release Date : 2022-04-26
Emerging Technologies And Systems For Biologically Plausible Implementations Of Neural Functions written by Erika Covi and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-26 with Science categories.
The Emergence Of Language
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Author : Brian MacWhinney
language : en
Publisher: Psychology Press
Release Date : 2013-03-07
The Emergence Of Language written by Brian MacWhinney and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-07 with Psychology categories.
For nearly four centuries, our understanding of human development has been controlled by the debate between nativism and empiricism. Nowhere has the contrast between these apparent alternatives been sharper than in the study of language acquisition. However, as more is learned about the details of language learning, it is found that neither nativism nor empiricism provides guidance about the ways in which complexity arises from the interaction of simpler developmental forces. For example, the child's first guesses about word meanings arise from the interplay between parental guidance, the child's perceptual preferences, and neuronal support for information storage and retrieval. As soon as the shape of the child's lexicon emerges from these more basic forces, an exploration of "emergentism" as a new alternative to nativism and empiricism is ready to begin. This book presents a series of emergentist accounts of language acquisition. Each case shows how a few simple, basic processes give rise to new levels of language complexity. The aspects of language examined here include auditory representations, phonological and articulatory processes, lexical semantics, ambiguity processing, grammaticality judgment, and sentence comprehension. The approaches that are invoked to account formally for emergent patterns include neural network theory, dynamic systems, linguistic functionalism, construction grammar, optimality theory, and statistically-driven learning. The excitement of this work lies both in the discovery of new emergent patterns and in the integration of theoretical frameworks that can formalize the theory of emergentism.
Lectures In Neuroscience
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Author : Rafael Yuste
language : en
Publisher: Columbia University Press
Release Date : 2023-08-15
Lectures In Neuroscience written by Rafael Yuste and has been published by Columbia University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-15 with Science categories.
The human brain is perhaps the most intricate and fascinating object in the known universe. Through a mysterious process, the activity of billions of neurons within a few pounds of matter generates the unfathomable complexity of the mind. This book is a conversational and accessible introduction to the brain. Beginning from basic elements of neuroscience, the acclaimed scientist Rafael Yuste guides readers through increasingly sophisticated topics, developing a unified framework for how the brain functions. He describes how the brain is organized and how it develops, how neurons operate and form neural circuits, and how these circuits function as neural networks to generate behavior and mental states. Yuste challenges the traditional view that the brain is an input-output machine that reacts reflexively to sensory stimuli. Instead, he argues, the purpose of the brain is to make a predictive model of the world in order to anticipate the future and choose successful courses of action. He gives readers insight into the workings of sensory and motor systems and the neurobiological basis of our perceptions, thoughts, emotions, memories, and consciousness. Peppered with anecdotes and illustrated with elegant drawings and diagrams, this succinct and cohesive book is accessible to readers without previous background in the subject. It is written for anyone seeking to grasp the core principles of neuroscience or looking for a fresh and clear perspective on how the brain works.
Neural Information Processing With Dynamical Synapses
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Author : Si Wu
language : en
Publisher: Frontiers E-books
Release Date : 2015-01-08
Neural Information Processing With Dynamical Synapses written by Si Wu and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-08 with Neurosciences. Biological psychiatry. Neuropsychiatry categories.
From Neuron To Cognition Via Computational Neuroscience
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Author : Michael A. Arbib
language : en
Publisher: MIT Press
Release Date : 2016-11-04
From Neuron To Cognition Via Computational Neuroscience written by Michael A. Arbib and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-04 with Science categories.
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
Intelligent Computing Theories And Application
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Author : De-Shuang Huang
language : en
Publisher: Springer
Release Date : 2017-07-18
Intelligent Computing Theories And Application written by De-Shuang Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-18 with Computers categories.
This three-volume set LNCS 10361, LNCS 10362, and LNAI 10363 constitutes the refereed proceedings of the 13th International Conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017. The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. This second volume of the set comprises 74 papers. The papers are organized in topical sections such as Pattern Recognition; Image Processing; Virtual Reality and Human-Computer Interaction; Healthcare Informatics Theory and Methods; Genetic Algorithms; Blind Source Separation; Intelligent Fault Diagnosis; Machine Learning; Knowledge Discovery and Data Mining; Gene Expression Array Analysis; Systems Biology; Modeling, Simulation, and Optimization of Biological Systems; Intelligent Computing in Computational Biology; Computational Genomics; Computational Proteomics; Gene Regulation Modeling and Analysis; SNPs and Haplotype Analysis; Protein-Protein Interaction Prediction; Protein Structure and Function Prediction; Next-Gen Sequencing and Metagenomics; Structure Prediction and Folding; Biomarker Discovery; Applications of Machine Learning Techniques to Computational Proteomics, Genomics, and Biological Sequence Analysis; Biomedical Image Analysis; Human-Machine Interaction: Shaping Tools Which Will Shape Us; Protein and Gene Bioinformatics: Analysis, Algorithms and Applications; Special Session on Computer Vision based Navigation; Neural Networks: Theory and Application.