Download or read book Neuro informatics and Neural Modelling written by F. Moss and published by Gulf Professional Publishing. This book was released on 2001-06-26 with total page 1081 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do sensory neurons transmit information about environmental stimuli to the central nervous system? How do networks of neurons in the CNS decode that information, thus leading to perception and consciousness? These questions are among the oldest in neuroscience. Quite recently, new approaches to exploration of these questions have arisen, often from interdisciplinary approaches combining traditional computational neuroscience with dynamical systems theory, including nonlinear dynamics and stochastic processes. In this volume in two sections a selection of contributions about these topics from a collection of well-known authors is presented. One section focuses on computational aspects from single neurons to networks with a major emphasis on the latter. The second section highlights some insights that have recently developed out of the nonlinear systems approach.
Download or read book Principles of Computational Modelling in Neuroscience written by David Sterratt and published by Cambridge University Press. This book was released on 2023-10-05 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to use computational modelling techniques to understand the nervous system at all levels, from ion channels to networks.
Download or read book Computing the Brain written by Michael A. Arbib and published by Academic Press. This book was released on 2001 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Watching her sister in a losing battle with anorexia as a result of being unable to cope with the death of their father, Holly realizes that her own dreams must be put aside for the moment in order to help her sister get through this difficult period by teaching her how to deal with the loss in a healthy way before it's too late. Reprint.
Download or read book Neuroinformatics of Large Scale Brain Modelling written by John David Griffiths and published by Frontiers Media SA. This book was released on 2022-11-10 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fundamentals of Computational Neuroscience written by Thomas Trappenberg and published by Oxford University Press. This book was released on 2010 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain.
Download or read book Neuroinformatics written by Chiquito J. Crasto and published by Springer Science & Business Media. This book was released on 2007-11-29 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuroinformatics presents cutting-edge techniques for the synergistic study of neuroinformatics. The book facilitates the efforts of discovering neuroscience through the sharing of data and the use of computational models. It demonstrates the use of neuroinformatic components as a mechanism for understanding complex disorders. It contains detailed explanations, advantages, and disadvantages of traditional and non-invasive imaging methods.
Download or read book Time Space Spiking Neural Networks and Brain Inspired Artificial Intelligence written by Nikola K. Kasabov and published by Springer. This book was released on 2018-08-29 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Data Driven Computational Neuroscience written by Concha Bielza and published by Cambridge University Press. This book was released on 2020-11-26 with total page 709 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data.
Download or read book Python in Neuroscience written by Eilif Muller and published by Frontiers Media SA. This book was released on 2015-07-23 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python is rapidly becoming the de facto standard language for systems integration. Python has a large user and developer-base external to theneuroscience community, and a vast module library that facilitates rapid and maintainable development of complex and intricate systems. In this Research Topic, we highlight recent efforts to develop Python modules for the domain of neuroscience software and neuroinformatics: - simulators and simulator interfaces - data collection and analysis - sharing, re-use, storage and databasing of models and data - stimulus generation - parameter search and optimization - visualization - VLSI hardware interfacing. Moreover, we seek to provide a representative overview of existing mature Python modules for neuroscience and neuroinformatics, to demonstrate a critical mass and show that Python is an appropriate choice of interpreter interface for future neuroscience software development.
Download or read book Artificial Neural Networks written by Petia Koprinkova-Hristova and published by Springer. This book was released on 2014-09-02 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.
Download or read book Cognitive Informatics Computer Modelling and Cognitive Science written by G. R. Sinha and published by Academic Press. This book was released on 2020-04-08 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Informatics, Computer Modelling, and Cognitive Science: Theory, Case Studies, and Applications presents the theoretical background and history of cognitive science to help readers understand its foundations, philosophical and psychological aspects, and applications in a wide range of engineering and computer science case studies. Cognitive science, a cognitive model of the brain, knowledge representation, and information processing in the human brain are discussed, as is the theory of consciousness, neuroscience, intelligence, decision-making, mind and behavior analysis, and the various ways cognitive computing is used for information manipulation, processing and decision-making. Mathematical and computational models, structures and processes of the human brain are also covered, along with advances in machine learning, artificial intelligence, cognitive knowledge base, deep learning, cognitive image processing and suitable data analytics.
Download or read book Neuroinformatics for Neuropsychology written by Vinoth Jagaroo and published by Springer Science & Business Media. This book was released on 2009-08-11 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics involves specialized application of computer technology to investigative and conceptual problems in biology and medicine; neuroinformatics (NI) is the practice of bioinformatics in the neurosciences. Over the past two decades the biomedical sciences have been revolutionized by databases, data mining and data modeling techniques. The Human Genome Project, which depended on informatics methods, has been the most well recognized bioinformatics undertaking. Bioinformatics has since been applied all across biology and medicine, and has also transformed almost every avenue in neuroscience. Yet in neuropsychology, NI perspectives remain largely unrealized. Ironically, NI offers enormous potential to the essential praxis of neuropsychology - assessing cognitive behavior and relating cognition to neural systems. Neuroinformatics can be applied to neuropsychology as richly as it has been applied across the neurosciences. Neuroinformatics for Neuropsychology is the first book to explain the relevance and value of NI to neuropsychology. It systematically describes NI tools, applications and models that can enhance the efforts of neuropsychologists. It also describes the implications of NI for neuropsychology in the 21st century – fundamental shifts away from the conventional modes of research, practice and communication that have thus far characterized the field. One of the foremost experts on the subject: Illustrates the vital role NI is playing throughout the neurosciences. Provides a sampling of NI tools and applications in neuroscience research, and lays out current organization structures that support NI. Describes the lack of NI in neuropsychology, differentiates between NI systems for neuropsychology and conventional computerized assessment methods, and proposes criteria for neuropsychology-specific NI systems. Describes NI applications and models currently in use in neuropsychology, and NI models for neuropsychology that are being pioneered in phenomics research. Discusses potential obstacles and aids to NI in neuropsychology, including issues such as data sharing, standardization of methods, and data ontology. Projects the future of neuropsychological research and practice in light of the new generation of the internet, Web 2.0, geared to collective knowledge building. A vital introduction to a profound technological practice, Neuroinformatics for Neuropsychology is important reading for clinical neuropsychologists, cognitive neuroscientists, behavioral neurologists, and speech-language pathologists. Researchers, clinicians, and graduate students interested in informatics for the brain-behavioral sciences will especially welcome this unique volume.
Download or read book Methods and Models in Neurophysics written by and published by Elsevier. This book was released on 2004-12-11 with total page 863 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuroscience is an interdisciplinary field that strives to understand the functioning of neural systems at levels ranging from biomolecules and cells to behaviour and higher brain functions (perception, memory, cognition). Neurophysics has flourished over the past three decades, becoming an indelible part of neuroscience, and has arguably entered its maturity. It encompasses a vast array of approaches stemming from theoretical physics, computer science, and applied mathematics. This book provides a detailed review of this field from basic concepts to its most recent development.
Download or read book Frontiers in neuroinformatics editor s pick 2021 written by Jan G. Bjaalie and published by Frontiers Media SA. This book was released on 2023-03-08 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Recent Advances and the Future Generation of Neuroinformatics Infrastructure written by Xi Cheng and published by Frontiers Media SA. This book was released on 2015-12-11 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: The huge volume of multi-modal neuroimaging data across different neuroscience communities has posed a daunting challenge to traditional methods of data sharing, data archiving, data processing and data analysis. Neuroinformatics plays a crucial role in creating advanced methodologies and tools for the handling of varied and heterogeneous datasets in order to better understand the structure and function of the brain. These tools and methodologies not only enhance data collection, analysis, integration, interpretation, modeling, and dissemination of data, but also promote data sharing and collaboration. This Neuroinformatics Research Topic aims to summarize the state-of-art of the current achievements and explores the directions for the future generation of neuroinformatics infrastructure. The publications present solutions for data archiving, data processing and workflow, data mining, and system integration methodologies. Some of the systems presented are large in scale, geographically distributed, and already have a well-established user community. Some discuss opportunities and methodologies that facilitate large-scale parallel data processing tasks under a heterogeneous computational environment. We wish to stimulate on-going discussions at the level of the neuroinformatics infrastructure including the common challenges, new technologies of maximum benefit, key features of next generation infrastructure, etc. We have asked leading research groups from different research areas of neuroscience/neuroimaging to provide their thoughts on the development of a state of the art and highly-efficient neuroinformatics infrastructure. Such discussions will inspire and help guide the development of a state of the art, highly-efficient neuroinformatics infrastructure.
Download or read book Neuroinformatics written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2022-08-04 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book 50 Years of Artificial Intelligence written by Max Lungarella and published by Springer Science & Business Media. This book was released on 2007-12-10 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Festschrift volume, published in celebration of the 50th Anniversary of Artificial Intelligence, includes 34 refereed papers written by leading researchers in the field of Artificial Intelligence. The papers were carefully selected from the invited lectures given at the 50th Anniversary Summit of AI, held at the Centro Stefano Franscini, Monte Verità, Ascona, Switzerland, July 9-14, 2006. The summit provided a venue for discussions on a broad range of topics.
