Neuro Inspired Information Processing
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Neuro Inspired Information Processing
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Author : Alain Cappy
language : en
Publisher: John Wiley & Sons
Release Date : 2020-06-16
Neuro Inspired Information Processing written by Alain Cappy 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 2020-06-16 with Technology & Engineering categories.
With the end of Moore's law and the emergence of new application needs such as those of the Internet of Things (IoT) or artificial intelligence (AI), neuro-inspired, or neuromorphic, information processing is attracting more and more attention from the scientific community. Its principle is to emulate in a simplified way the formidable machine to process information which is the brain, with neurons and artificial synapses organized in network. These networks can be software – and therefore implemented in the form of a computer program – but also hardware and produced by nanoelectronic circuits. The material path allows very low energy consumption, and the possibility of faithfully reproducing the shape and dynamics of the action potentials of living neurons (biomimetic approach) or even being up to a thousand times faster (high frequency approach). This path is promising and welcomed by the major manufacturers of nanoelectronics, as circuits can now today integrate several million neurons and artificial synapses.
Time Space Spiking Neural Networks And Brain Inspired Artificial Intelligence
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Author : Nikola K. Kasabov
language : en
Publisher: Springer
Release Date : 2018-08-29
Time Space Spiking Neural Networks And Brain Inspired Artificial Intelligence written by Nikola K. Kasabov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Technology & Engineering categories.
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Advances In Neuro Information Processing
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Author : Mario Köppen
language : en
Publisher: Springer
Release Date : 2009-07-30
Advances In Neuro Information Processing written by Mario Köppen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-30 with Computers categories.
The two volume set LNCS 5506 and LNCS 5507 constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Neural Information Processing, ICONIP 2008, held in Auckland, New Zealand, in November 2008. The 260 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. 116 papers are published in the first volume and 112 in the second volume. The contributions deal with topics in the areas of data mining methods for cybersecurity, computational models and their applications to machine learning and pattern recognition, lifelong incremental learning for intelligent systems, application of intelligent methods in ecological informatics, pattern recognition from real-world information by svm and other sophisticated techniques, dynamics of neural networks, recent advances in brain-inspired technologies for robotics, neural information processing in cooperative multi-robot systems.
Neuro Inspired Information Processing
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Author : Alain Cappy
language : en
Publisher: John Wiley & Sons
Release Date : 2020-03-31
Neuro Inspired Information Processing written by Alain Cappy 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 2020-03-31 with Technology & Engineering categories.
With the end of Moore's law and the emergence of new application needs such as those of the Internet of Things (IoT) or artificial intelligence (AI), neuro-inspired, or neuromorphic, information processing is attracting more and more attention from the scientific community. Its principle is to emulate in a simplified way the formidable machine to process information which is the brain, with neurons and artificial synapses organized in network. These networks can be software – and therefore implemented in the form of a computer program – but also hardware and produced by nanoelectronic circuits. The 'material' path allows very low energy consumption, and the possibility of faithfully reproducing the shape and dynamics of the action potentials of living neurons (biomimetic approach) or even being up to a thousand times faster (high frequency approach). This path is promising and welcomed by the major manufacturers of nanoelectronics, as circuits can now today integrate several million neurons and artificial synapses.
Neuro Inspired Architectures For The Acquisition And Processing Of Visual Information
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Author : Ala Aboudib
language : en
Publisher:
Release Date : 2016
Neuro Inspired Architectures For The Acquisition And Processing Of Visual Information written by Ala Aboudib and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Computer vision and machine learning are two hot research topics that have witnessed major breakthroughs in recent years. Much of the advances in these domains have been the fruits of many years of research on the visual cortex and brain function. In this thesis, we focus on designing neuro-inspired architectures for processing information along three different stages of the visual cortex. At the lowest stage, we propose a neural model for the acquisition of visual signals. This model is adapted to emulating eye movements and is closely inspired by the function and the architecture of the retina and early layers of the ventral stream. On the highest stage, we address the memory problem. We focus on an existing neuro-inspired associative memory model called the Sparse Clustered Network. We propose a new information retrieval algorithm that offers more flexibility and a better performance over existing ones. Furthermore, we suggest a generic formulation within which all existing retrieval algorithms can fit. It can also be used to guide the design of new retrieval approaches in a modular fashion. On the intermediate stage, we propose a new way for dealing with the image feature correspondence problem using a neural network model. This model deploys the structure of Sparse Clustered Networks, and offers a gain in matching performance over state-of-the-art, and provides a useful insight on how neuro-inspired architectures can serve as a substrate for implementing various vision tasks.
Towards A Brain Inspired Information Processing System
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Author : Karim El-Laithy
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2012-02
Towards A Brain Inspired Information Processing System written by Karim El-Laithy and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02 with categories.
Biological neural systems in general and the central nervous system specifically exhibit a strikingly efficient computational power along with an extreme flexible and adaptive basis for acquiring and integrating new knowledge. Acquiring more insights into the actual mechanisms of information processing within the brain and their computational capabilities is a core objective of modern computer science, computational sciences and neuroscience. There is however a significant lack of knowledge regarding the basic information processing within the brain. In order to have more insights into these basic information processing methods, this book presents an approach that investigates the underlying mechanisms allowing the brain to be capable of performing such massive amounts of computational tasks with a sustainable efficiency and flexibility. A main focus of this work is the role of synapses and their involved dynamics in the brain's computational power. This work investigates, models and analyses the synaptic dynamics with integration into the level of dynamic neural networks.
Neuroinformatics
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2022-08-04
Neuroinformatics written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-04 with Technology & Engineering categories.
What Is Neuroinformatics The fields of informatics and neurology have been combined to establish the discipline of neuroinformatics. The processing of data and information in the field of neuroscience using artificial neural networks is referred to as neuroinformatics. There are three primary areas in which neuroinformatics needs to be utilized, and they are as follows: the creation of computer models of the nervous system and the processes that take place in the brain.the creation of tools for analyzing and modeling data from the field of neuroscience, the creation of tools and databases for the management and sharing of data from the field of neuroscience at all levels of analysis, How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Neuroinformatics Chapter 2: Neuroscience Chapter 3: Mind uploading Chapter 4: Computational neuroscience Chapter 5: Bio-inspired computing Chapter 6: Neuromorphic engineering Chapter 7: Terry Sejnowski Chapter 8: Neural network Chapter 9: Krasnow Institute for Advanced Study Chapter 10: Neural computation Chapter 11: Blue Brain Project Chapter 12: International Neuroinformatics Coordinating Facility Chapter 13: Human Brain Project Chapter 14: Multi-simulation coordinator Chapter 15: Brain simulation Chapter 16: Informatics Chapter 17: Nervous system network models Chapter 18: Outline of brain mapping Chapter 19: Upinder Singh Bhalla Chapter 20: Predictive coding Chapter 21: MIT Department of Brain and Cognitive Sciences (II) Answering the public top questions about neuroinformatics. (III) Real world examples for the usage of neuroinformatics in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of neuroinformatics' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of neuroinformatics.
Bio Inspired Neurocomputing
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Author : Akash Kumar Bhoi
language : en
Publisher: Springer Nature
Release Date : 2020-07-21
Bio Inspired Neurocomputing written by Akash Kumar Bhoi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-21 with Technology & Engineering categories.
This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.
Advances In Neuro Information Processing
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Author : Mario Köppen
language : en
Publisher: Springer
Release Date : 2009-07-30
Advances In Neuro Information Processing written by Mario Köppen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-30 with Computers categories.
The two volume set LNCS 5506 and LNCS 5507 constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Neural Information Processing, ICONIP 2008, held in Auckland, New Zealand, in November 2008. The 260 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. 116 papers are published in the first volume and 112 in the second volume. The contributions deal with topics in the areas of data mining methods for cybersecurity, computational models and their applications to machine learning and pattern recognition, lifelong incremental learning for intelligent systems, application of intelligent methods in ecological informatics, pattern recognition from real-world information by svm and other sophisticated techniques, dynamics of neural networks, recent advances in brain-inspired technologies for robotics, neural information processing in cooperative multi-robot systems.
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.