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Neural Information Processing With Dynamical Synapses


Neural Information Processing With Dynamical Synapses
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Neural Information Processing With Dynamical Synapses


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.




Advances In Neural Information Processing Systems 10


Advances In Neural Information Processing Systems 10
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Author : Michael I. Jordan
language : en
Publisher: MIT Press
Release Date : 1998

Advances In Neural Information Processing Systems 10 written by Michael I. Jordan and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.


The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. These proceedings contain all of the papers that were presented.



Computational Neuroscience


Computational Neuroscience
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Author : J.M. Bower
language : en
Publisher: Elsevier
Release Date : 1999-07-08

Computational Neuroscience written by J.M. Bower and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-07-08 with Computers categories.


This volume includes papers originally presented at the 7th annual Computational Neuroscience Meeting (CNS'98) held in July of 1998 at the Fess Parker Doubletree Inn in Santa Barbara, California. The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches, and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.



Neural Information Processing


Neural Information Processing
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Author : Akira Hirose
language : en
Publisher: Springer
Release Date : 2016-09-30

Neural Information Processing written by Akira Hirose and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-30 with Computers categories.


The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitutes the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.



Advances In Neural Information Processing Systems 15


Advances In Neural Information Processing Systems 15
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Author : Suzanna Becker
language : en
Publisher: MIT Press
Release Date : 2003

Advances In Neural Information Processing Systems 15 written by Suzanna Becker and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.


Proceedings of the 2002 Neural Information Processing Systems Conference.



An Introduction To Neural Information Processing


An Introduction To Neural Information Processing
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Author : Peiji Liang
language : en
Publisher: Springer
Release Date : 2015-12-22

An Introduction To Neural Information Processing written by Peiji Liang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-22 with Medical categories.


This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. They present classical examples of how the pioneers in this field used theoretical analysis, mathematical modeling and computer simulation to solve neurobiological problems, and share their experiences and lessons learned. The book is intended for researchers and students with a mathematics, physics or informatics background who are interested in brain research and keen to understand the necessary neurobiology and how they can use their specialties to address neurobiological problems. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics or informatics approaches to solve problems in their field.



Advances In Neural Information Processing Systems 19


Advances In Neural Information Processing Systems 19
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Author : Bernhard Schölkopf
language : en
Publisher: MIT Press
Release Date : 2007

Advances In Neural Information Processing Systems 19 written by Bernhard Schölkopf and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Artificial intelligence categories.


The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.



Synaptic Plasticity For Neuromorphic Systems


Synaptic Plasticity For Neuromorphic Systems
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Author : Christian Mayr
language : en
Publisher: Frontiers Media SA
Release Date : 2016-06-26

Synaptic Plasticity For Neuromorphic Systems written by Christian Mayr 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 2016-06-26 with Neurosciences. Biological psychiatry. Neuropsychiatry categories.


One of the most striking properties of biological systems is their ability to learn and adapt to ever changing environmental conditions, tasks and stimuli. It emerges from a number of different forms of plasticity, that change the properties of the computing substrate, mainly acting on the modification of the strength of synaptic connections that gate the flow of information across neurons. Plasticity is an essential ingredient for building artificial autonomous cognitive agents that can learn to reliably and meaningfully interact with the real world. For this reason, the neuromorphic community at large has put substantial effort in the design of different forms of plasticity and in putting them to practical use. These plasticity forms comprise, among others, Short Term Depression and Facilitation, Homeostasis, Spike Frequency Adaptation and diverse forms of Hebbian learning (e.g. Spike Timing Dependent Plasticity). This special research topic collects the most advanced developments in the design of the diverse forms of plasticity, from the single circuit to the system level, as well as their exploitation in the implementation of cognitive systems.



The Handbook Of Brain Theory And Neural Networks


The Handbook Of Brain Theory And Neural Networks
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Author : Michael A. Arbib
language : en
Publisher: MIT Press
Release Date : 2003

The Handbook Of Brain Theory And Neural Networks 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 2003 with Computers categories.


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).



Synaptic Plasticity In Neurodegenerative Disorders


Synaptic Plasticity In Neurodegenerative Disorders
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Author : Sangeeta Singh
language : en
Publisher: CRC Press
Release Date : 2024-12-24

Synaptic Plasticity In Neurodegenerative Disorders written by Sangeeta Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-24 with Science categories.


This book explores the pivotal role of synaptic plasticity in the pathogenesis, progression, and potential treatment of neurodegenerative disorders. The initial chapter provides an in-depth understanding of the complexity and impact of neurodegenerative conditions. It discusses the association of mitochondrial dysfunction, epigenetic influences, and neuroinflammation with synaptic plasticity in neurodegenerative diseases. The following chapters review the dynamic changes that occur at the cellular and synaptic levels in Parkinson's disease, Alzheimer's disease, and Huntington's disease, paving the way for innovative therapeutic strategies. Furthermore, the book presents various computational tools and methodologies essential for enhancing our understanding of synaptic plasticity. It examines the transformative role of artificial intelligence tools in addressing synaptic impairment across various neurodegenerative diseases. Discusses the role of synaptic plasticity in neurodegenerative diseases, shedding light on how dynamic changes occur at the cellular and synaptic levels Explores the transformative role of artificial intelligence tools in addressing synaptic impairment across various neurodegenerative diseases Provides a comprehensive overview of neurodegenerative disorders, including pathogenesis, etiology, and treatment strategies Presents tools and techniques used to simulate the complex system biology of synaptic plasticity Examines the role of computational neuroscience in understanding and potentially treating conditions such as multiple sclerosis and amyotrophic lateral sclerosis Toward the end, the book explores the role of synaptic impairment and computational neuroscience in understanding and potentially treating conditions such as multiple sclerosis and amyotrophic lateral sclerosis. With its multifaceted approach, this book serves as a useful resource for researchers, clinicians, and students in the fields of neuroscience, computational biology, and neurology.