Digital Neural Circuits

Download Digital Neural Circuits full books in PDF, epub, and Kindle. Read online Digital Neural Circuits ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Neural Circuit and Cognitive Development

Download Neural Circuit and Cognitive Development PDF Online Free

Author : Bin Chen
Publisher : Academic Press
ISBN 13 : 0128144122
Total Pages : 670 pages
Book Rating : 4.1/5 (281 download)

Book Synopsis Neural Circuit and Cognitive Development by : Bin Chen

Download or read book Neural Circuit and Cognitive Development written by Bin Chen and published by Academic Press. This book was released on 2020-06-10 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Circuit and Cognitive Development, Second Edition, the latest release in the Comprehensive Developmental Neuroscience series, provides a much-needed update to underscore the latest research in this rapidly evolving field, with new section editors discussing the technological advances that are enabling the pursuit of new research on brain development. This volume is devoted mainly to anatomical and functional development of neural circuits and neural systems and cognitive development. Understanding the critical role these changes play in neurodevelopment provides the ability to explore and elucidate the underlying causes of neurodevelopmental disorders and their effect on cognition. This series is designed to fill the knowledge gap, offering the most thorough coverage of this field on the market today and addressing all aspects of how the nervous system and its components develop. Features leading experts in various subfields as section editors and article authors Presents articles that have been peer reviewed to ensure accuracy, thoroughness and scholarship Includes coverage of mechanisms that control the assembly of neural circuits in specific regions of the nervous system and multiple aspects of cognitive development

Modeling Neural Circuits Made Simple with Python

Download Modeling Neural Circuits Made Simple with Python PDF Online Free

Author : Robert Rosenbaum
Publisher : MIT Press
ISBN 13 : 0262548089
Total Pages : 169 pages
Book Rating : 4.2/5 (625 download)

Book Synopsis Modeling Neural Circuits Made Simple with Python by : Robert Rosenbaum

Download or read book Modeling Neural Circuits Made Simple with Python written by Robert Rosenbaum and published by MIT Press. This book was released on 2024-03-19 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible undergraduate textbook in computational neuroscience that provides an introduction to the mathematical and computational modeling of neurons and networks of neurons. Understanding the brain is a major frontier of modern science. Given the complexity of neural circuits, advancing that understanding requires mathematical and computational approaches. This accessible undergraduate textbook in computational neuroscience provides an introduction to the mathematical and computational modeling of neurons and networks of neurons. Starting with the biophysics of single neurons, Robert Rosenbaum incrementally builds to explanations of neural coding, learning, and the relationship between biological and artificial neural networks. Examples with real neural data demonstrate how computational models can be used to understand phenomena observed in neural recordings. Based on years of classroom experience, the material has been carefully streamlined to provide all the content needed to build a foundation for modeling neural circuits in a one-semester course. Proven in the classroom Example-rich, student-friendly approach Includes Python code and a mathematical appendix reviewing the requisite background in calculus, linear algebra, and probability Ideal for engineering, science, and mathematics majors and for self-study

Neuron Circuits, Electronic Circuits and Self-consciousness

Download Neuron Circuits, Electronic Circuits and Self-consciousness PDF Online Free

Author : Masakazu Shoji
Publisher : Vantage Press, Inc
ISBN 13 : 9780533159604
Total Pages : 352 pages
Book Rating : 4.1/5 (596 download)

Book Synopsis Neuron Circuits, Electronic Circuits and Self-consciousness by : Masakazu Shoji

Download or read book Neuron Circuits, Electronic Circuits and Self-consciousness written by Masakazu Shoji and published by Vantage Press, Inc. This book was released on 2009 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique and fascinating scientific detective story that traces the origins as well as the complex mechanisms of human self-consciousness.

Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits

Download Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits PDF Online Free

Author : Dorian Florescu
Publisher : Springer
ISBN 13 : 3319570811
Total Pages : 148 pages
Book Rating : 4.3/5 (195 download)

Book Synopsis Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits by : Dorian Florescu

Download or read book Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits written by Dorian Florescu and published by Springer. This book was released on 2017-04-24 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work is motivated by the ongoing open question of how information in the outside world is represented and processed by the brain. Consequently, several novel methods are developed. A new mathematical formulation is proposed for the encoding and decoding of analog signals using integrate-and-fire neuron models. Based on this formulation, a novel algorithm, significantly faster than the state-of-the-art method, is proposed for reconstructing the input of the neuron. Two new identification methods are proposed for neural circuits comprising a filter in series with a spiking neuron model. These methods reduce the number of assumptions made by the state-of-the-art identification framework, allowing for a wider range of models of sensory processing circuits to be inferred directly from input-output observations. A third contribution is an algorithm that computes the spike time sequence generated by an integrate-and-fire neuron model in response to the output of a linear filter, given the input of the filter encoded with the same neuron model.

Digital Neural Networks

Download Digital Neural Networks PDF Online Free

Author : Sun Yuan Kung
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 472 pages
Book Rating : 4.3/5 (91 download)

Book Synopsis Digital Neural Networks by : Sun Yuan Kung

Download or read book Digital Neural Networks written by Sun Yuan Kung and published by Prentice Hall. This book was released on 1993 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended for engineers and researchers interested in the applications of neural networks to signal and image processing, this book is theoretically based with emphasis on application and implementation. Coverage includes neural networks for representation, unsupervised networks for association/classification, neural networks for generalization/restoration, neural net and conventional optimization techniques, and special purpose supercomputers for neural nets.

Digital Neural Circuits

Download Digital Neural Circuits PDF Online Free

Author : Junwen Luo
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (97 download)

Book Synopsis Digital Neural Circuits by : Junwen Luo

Download or read book Digital Neural Circuits written by Junwen Luo and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Introduction to Neural and Electronic Networks

Download An Introduction to Neural and Electronic Networks PDF Online Free

Author : Steven F. Zornetzer
Publisher :
ISBN 13 :
Total Pages : 532 pages
Book Rating : 4.3/5 (91 download)

Book Synopsis An Introduction to Neural and Electronic Networks by : Steven F. Zornetzer

Download or read book An Introduction to Neural and Electronic Networks written by Steven F. Zornetzer and published by . This book was released on 1990 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a presentation of research and theory from the disciplines that provide the foundations of neural network research: neurobiology, physics, computer science, electrical engineering, mathematics and psychology. It shows how neural networks and neurocomputing represent radical departures from conventional approaches to digital computers, in terms of algorithms as well as architecture. More than 200 line drawings illustrate the many facets of and approaches to neural networks research. This second edition contains new chapters on computational models of hippocampal and cerebellar function, nonlinear information processing, adaptive filtering and pattern recognition, and digital VLSI architecture. Its interdisciplinary emphasis is aimed at a wide array of researchers and students - from neurobiologists to psychologists.

Human Memory Modeled with Standard Analog and Digital Circuits

Download Human Memory Modeled with Standard Analog and Digital Circuits PDF Online Free

Author : John Robert Burger
Publisher : John Wiley & Sons
ISBN 13 : 9780470464199
Total Pages : 318 pages
Book Rating : 4.4/5 (641 download)

Book Synopsis Human Memory Modeled with Standard Analog and Digital Circuits by : John Robert Burger

Download or read book Human Memory Modeled with Standard Analog and Digital Circuits written by John Robert Burger and published by John Wiley & Sons. This book was released on 2009-07-31 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain a new perspective on how the brain works and inspires new avenues for design in computer science and engineering This unique book is the first of its kind to introduce human memory and basic cognition in terms of physical circuits, beginning with the possibilities of ferroelectric behavior of neural membranes, moving to the logical properties of neural pulses recognized as solitons, and finally exploring the architecture of cognition itself. It encourages invention via the methodical study of brain theory, including electrically reversible neurons, neural networks, associative memory systems within the brain, neural state machines within associative memory, and reversible computers in general. These models use standard analog and digital circuits that, in contrast to models that include non-physical components, may be applied directly toward the goal of constructing a machine with artificial intelligence based on patterns of the brain. Writing from the circuits and systems perspective, the author reaches across specialized disciplines including neuroscience, psychology, and physics to achieve uncommon coverage of: Neural membranes Neural pulses and neural memory Circuits and systems for memorizing and recalling Dendritic processing and human learning Artificial learning in artificial neural networks The asset of reversibility in man and machine Electrically reversible nanoprocessors Reversible arithmetic Hamiltonian circuit finders Quantum versus classical Each chapter introduces and develops new material and ends with exercises for readers to put their skills into practice. Appendices are provided for non-experts who want a quick overview of brain anatomy, brain psychology, and brain scanning. The nature of this book, with its summaries of major bodies of knowledge, makes it a most valuable reference for professionals, researchers, and students with career goals in artificial intelligence, intelligent systems, neural networks, computer architecture, and neuroscience. A solutions manual is available for instructors; to obtain a copy please email the editorial department at [email protected].

Neural Networks: Computers With Intuition

Download Neural Networks: Computers With Intuition PDF Online Free

Author : Benny Elley Lautrup
Publisher : World Scientific
ISBN 13 : 9814507326
Total Pages : 182 pages
Book Rating : 4.8/5 (145 download)

Book Synopsis Neural Networks: Computers With Intuition by : Benny Elley Lautrup

Download or read book Neural Networks: Computers With Intuition written by Benny Elley Lautrup and published by World Scientific. This book was released on 1990-05-01 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Both specialists and laymen will enjoy reading this book. Using a lively, non-technical style and images from everyday life, the authors present the basic principles behind computing and computers. The focus is on those aspects of computation that concern networks of numerous small computational units, whether biological neural networks or artificial electronic devices.

Real-Time Multi-Chip Neural Network for Cognitive Systems

Download Real-Time Multi-Chip Neural Network for Cognitive Systems PDF Online Free

Author : Zjajo, Amir
Publisher : River Publishers
ISBN 13 : 8770220344
Total Pages : 268 pages
Book Rating : 4.7/5 (72 download)

Book Synopsis Real-Time Multi-Chip Neural Network for Cognitive Systems by : Zjajo, Amir

Download or read book Real-Time Multi-Chip Neural Network for Cognitive Systems written by Zjajo, Amir and published by River Publishers. This book was released on 2019-01-25 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation of brain neurons in real-time using biophysically-meaningful models is a pre-requisite for comprehensive understanding of how neurons process information and communicate with each other, in effect efficiently complementing in-vivo experiments. In spiking neural networks (SNNs), propagated information is not just encoded by the firing rate of each neuron in the network, as in artificial neural networks (ANNs), but, in addition, by amplitude, spike-train patterns, and the transfer rate. The high level of realism of SNNs and more significant computational and analytic capabilities in comparison with ANNs, however, limit the size of the realized networks. Consequently, the main challenge in building complex and biophysically-accurate SNNs is largely posed by the high computational and data transfer demands. Real-Time Multi-Chip Neural Network for Cognitive Systems presents novel real-time, reconfigurable, multi-chip SNN system architecture based on localized communication, which effectively reduces the communication cost to a linear growth. The system use double floating-point arithmetic for the most biologically accurate cell behavior simulation, and is flexible enough to offer an easy implementation of various neuron network topologies, cell communication schemes, as well as models and kinds of cells. The system offers a high run-time configurability, which reduces the need for resynthesizing the system. In addition, the simulator features configurable on- and off-chip communication latencies as well as neuron calculation latencies. All parts of the system are generated automatically based on the neuron interconnection scheme in use. The simulator allows exploration of different system configurations, e.g. the interconnection scheme between the neurons, the intracellular concentration of different chemical compounds (ions), which affect how action potentials are initiated and propagate.

Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces

Download Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces PDF Online Free

Author : Jeremy Holleman
Publisher : Springer Science & Business Media
ISBN 13 : 1441967273
Total Pages : 123 pages
Book Rating : 4.4/5 (419 download)

Book Synopsis Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces by : Jeremy Holleman

Download or read book Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces written by Jeremy Holleman and published by Springer Science & Business Media. This book was released on 2010-10-29 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will describe ultra low-power, integrated circuits and systems designed for the emerging field of neural signal recording and processing, and wireless communication. Since neural interfaces are typically implanted, their operation is highly energy-constrained. This book introduces concepts and theory that allow circuit operation approaching the fundamental limits. Design examples and measurements of real systems are provided. The book will describe circuit designs for all of the critical components of a neural recording system, including: Amplifiers which utilize new techniques to improve the trade-off between good noise performance and low power consumption. Analog and mixed-signal circuits which implement signal processing tasks specific to the neural recording application: Detection of neural spikes Extraction of features that describe the spikes Clustering, a machine learning technique for sorting spikes Weak-inversion operation of analog-domain transistors, allowing processing circuits that reduce the requirements for analog-digital conversion and allow low system-level power consumption. Highly-integrated, sub-mW wireless transmitter designed for the Medical Implant Communications Service (MICS) and ISM bands.

Hardware Annealing in Analog VLSI Neurocomputing

Download Hardware Annealing in Analog VLSI Neurocomputing PDF Online Free

Author : Bank W. Lee
Publisher : Springer Science & Business Media
ISBN 13 : 1461539846
Total Pages : 251 pages
Book Rating : 4.4/5 (615 download)

Book Synopsis Hardware Annealing in Analog VLSI Neurocomputing by : Bank W. Lee

Download or read book Hardware Annealing in Analog VLSI Neurocomputing written by Bank W. Lee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid advances in neural sciences and VLSI design technologies have provided an excellent means to boost the computational capability and efficiency of data and signal processing tasks by several orders of magnitude. With massively parallel processing capabilities, artificial neural networks can be used to solve many engineering and scientific problems. Due to the optimized data communication structure for artificial intelligence applications, a neurocomputer is considered as the most promising sixth-generation computing machine. Typical applica tions of artificial neural networks include associative memory, pattern classification, early vision processing, speech recognition, image data compression, and intelligent robot control. VLSI neural circuits play an important role in exploring and exploiting the rich properties of artificial neural networks by using pro grammable synapses and gain-adjustable neurons. Basic building blocks of the analog VLSI neural networks consist of operational amplifiers as electronic neurons and synthesized resistors as electronic synapses. The synapse weight information can be stored in the dynamically refreshed capacitors for medium-term storage or in the floating-gate of an EEPROM cell for long-term storage. The feedback path in the amplifier can continuously change the output neuron operation from the unity-gain configuration to a high-gain configuration. The adjustability of the vol tage gain in the output neurons allows the implementation of hardware annealing in analog VLSI neural chips to find optimal solutions very efficiently. Both supervised learning and unsupervised learning can be implemented by using the programmable neural chips.

Neural Information Processing and VLSI

Download Neural Information Processing and VLSI PDF Online Free

Author : Bing J. Sheu
Publisher : Springer Science & Business Media
ISBN 13 : 1461522471
Total Pages : 569 pages
Book Rating : 4.4/5 (615 download)

Book Synopsis Neural Information Processing and VLSI by : Bing J. Sheu

Download or read book Neural Information Processing and VLSI written by Bing J. Sheu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques. Neural Information Processing and VLSI systematically presents various neural network paradigms, computing architectures, and the associated electronic/optical implementations using efficient VLSI design methodologies. Conventional digital machines cannot perform computationally-intensive tasks with satisfactory performance in such areas as intelligent perception, including visual and auditory signal processing, recognition, understanding, and logical reasoning (where the human being and even a small living animal can do a superb job). Recent research advances in artificial and biological neural networks have established an important foundation for high-performance information processing with more efficient use of computing resources. The secret lies in the design optimization at various levels of computing and communication of intelligent machines. Each neural network system consists of massively paralleled and distributed signal processors with every processor performing very simple operations, thus consuming little power. Large computational capabilities of these systems in the range of some hundred giga to several tera operations per second are derived from collectively parallel processing and efficient data routing, through well-structured interconnection networks. Deep-submicron very large-scale integration (VLSI) technologies can integrate tens of millions of transistors in a single silicon chip for complex signal processing and information manipulation. The book is suitable for those interested in efficient neurocomputing as well as those curious about neural network system applications. It has been especially prepared for use as a text for advanced undergraduate and first year graduate students, and is an excellent reference book for researchers and scientists working in the fields covered.

Neural Circuit Development and Function in the Healthy and Diseased Brain

Download Neural Circuit Development and Function in the Healthy and Diseased Brain PDF Online Free

Author : John Rubenstein
Publisher :
ISBN 13 : 9780123972675
Total Pages : 834 pages
Book Rating : 4.9/5 (726 download)

Book Synopsis Neural Circuit Development and Function in the Healthy and Diseased Brain by : John Rubenstein

Download or read book Neural Circuit Development and Function in the Healthy and Diseased Brain written by John Rubenstein and published by . This book was released on 2013 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: The genetic, molecular, and cellular mechanisms of neural development are essential for understanding evolution and disorders of neural systems. Recent advances in genetic, molecular, and cell biological methods have generated a massive increase in new information, but there is a paucity of comprehensive and up-to-date syntheses, references, and historical perspectives on this important subject. The Comprehensive Developmental Neuroscience series is designed to fill this gap, offering the most thorough coverage of this field on the market today and addressing all aspects of how the nervous system and its components develop. Particular attention is paid to the effects of abnormal development and on new psychiatric/neurological treatments being developed based on our increased understanding of developmental mechanisms. Each volume in the series consists of review style articles that average 15-20pp and feature numerous illustrations and full references. Volume 3 offers 40 high level articles devoted mainly to anatomical and functional development of neural circuits and neural systems, as well as those that address neurodevelopmental disorders in humans and experimental organisms. Series offers 144 articles for 2904 full color pages addressing ways in which the nervous system and its components develop Features leading experts in various subfields as Section Editors and article Authors All articles peer reviewed by Section Editors to ensure accuracy, thoroughness, and scholarship Volume 3 sections include coverage of: mechanisms that control the assembly of neural circuits in specific regions of the nervous system, multiple aspects of cognitive development, and disorders of the nervous system arising through defects in neural development

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

Download Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications PDF Online Free

Author : Christos Volos
Publisher : Academic Press
ISBN 13 : 0128232021
Total Pages : 570 pages
Book Rating : 4.1/5 (282 download)

Book Synopsis Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications by : Christos Volos

Download or read book Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications written by Christos Volos and published by Academic Press. This book was released on 2021-06-17 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and perspectives of ongoing research on relevant topics, all involving networks of mem-elements devices in diverse applications. Sections contribute to the discussion of memristive materials and transport mechanisms, presenting various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling. As the last decade has seen an increasing interest in recent advances in mem-elements and their applications in neuromorphic circuits and artificial intelligence, this book will attract researchers in various fields. Covers a broad range of interdisciplinary topics between mathematics, circuits, realizations, and practical applications related to nonlinear dynamical systems, nanotechnology, analog and digital systems, computer science and artificial intelligence Presents recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) Includes interesting applications of mem-elements in nonlinear dynamical systems, analog and digital systems, neuromorphic circuits, computer science and artificial intelligence

Brain-Machine Interface

Download Brain-Machine Interface PDF Online Free

Author : Amir Zjajo
Publisher : Springer
ISBN 13 : 3319315412
Total Pages : 176 pages
Book Rating : 4.3/5 (193 download)

Book Synopsis Brain-Machine Interface by : Amir Zjajo

Download or read book Brain-Machine Interface written by Amir Zjajo and published by Springer. This book was released on 2016-03-30 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete overview of significant design challenges in respect to circuit miniaturization and power reduction of the neural recording system, along with circuit topologies, architecture trends, and (post-silicon) circuit optimization algorithms. The introduced novel circuits for signal conditioning, quantization, and classification, as well as system configurations focus on optimized power-per-area performance, from the spatial resolution (i.e. number of channels), feasible wireless data bandwidth and information quality to the delivered power of implantable system.

Electronic Implementations of Neural Networks

Download Electronic Implementations of Neural Networks PDF Online Free

Author : Paul Taylor Wildes
Publisher :
ISBN 13 :
Total Pages : 112 pages
Book Rating : 4.:/5 (89 download)

Book Synopsis Electronic Implementations of Neural Networks by : Paul Taylor Wildes

Download or read book Electronic Implementations of Neural Networks written by Paul Taylor Wildes and published by . This book was released on 1988 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: