Synaptic Plasticity For Neuromorphic Systems
DOWNLOAD
Download Synaptic Plasticity For Neuromorphic Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Synaptic Plasticity For Neuromorphic Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Synaptic Plasticity For Neuromorphic Systems
DOWNLOAD
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.
Synaptic Plasticity In Neuromorphic Systems
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2016
Synaptic Plasticity In Neuromorphic Systems written by 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.
Theory Of Cortical Plasticity
DOWNLOAD
Author : Leon N. Cooper
language : en
Publisher: World Scientific
Release Date : 2004
Theory Of Cortical Plasticity written by Leon N. Cooper and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Science categories.
This invaluable book presents a theory of cortical plasticity and shows how this theory leads to experiments that test both its assumptions and consequences. It elucidates, in a manner that is accessible to students as well as researchers, the role which the BCM theory has played in guiding research and suggesting experiments that have led to our present understanding of the mechanisms underlying cortical plasticity. Most of the connections between theory and experiment that are discussed require complex simulations. A unique feature of the book is the accompanying software package, Plasticity. This is provided complete with source code, and enables the reader to repeat any of the simulations quoted in the book as well as to vary either parameters or assumptions. Plasticity is thus a research and an educational tool. Readers can use it to obtain hands-on knowledge of the structure of BCM and various other learning algorithms. They can check and replicate our results as well as test algorithms andrefinements of their own.
Neuromorphic Devices For Brain Inspired Computing
DOWNLOAD
Author : Qing Wan
language : en
Publisher: John Wiley & Sons
Release Date : 2022-05-16
Neuromorphic Devices For Brain Inspired Computing written by Qing Wan 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 2022-05-16 with Technology & Engineering categories.
Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications. Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology’s potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes: A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms Comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviors Practical discussions of neuromorphic devices based on chalcogenide and organic materials In-depth examinations of neuromorphic computing and perceptual systems with emerging devices Perfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.
Enabling Technologies For Very Large Scale Synaptic Electronics
DOWNLOAD
Author : Themis Prodromakis
language : en
Publisher: Frontiers Media SA
Release Date : 2018-07-05
Enabling Technologies For Very Large Scale Synaptic Electronics written by Themis Prodromakis 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 2018-07-05 with categories.
An important part of the colossal effort associated with the understanding of the brain involves using electronics hardware technology in order to reproduce biological behavior in ‘silico’. The idea revolves around leveraging decades of experience in the electronics industry as well as new biological findings that are employed towards reproducing key behaviors of fundamental elements of the brain (notably neurons and synapses) at far greater speed-scale products than any software-only implementation can achieve for the given level of modelling detail. So far, the field of neuromorphic engineering has proven itself as a major source of innovation towards the ‘silicon brain’ goal, with the methods employed by its community largely focused on circuit design (analogue, digital and mixed signal) and standard, commercial, Complementary Metal-Oxide Silicon (CMOS) technology as the preferred `tools of choice’ when trying to simulate or emulate biological behavior. However, alongside the circuit-oriented sector of the community there exists another community developing new electronic technologies with the express aim of creating advanced devices, beyond the capabilities of CMOS, that can intrinsically simulate neuron- or synapse-like behavior. A notable example concerns nanoelectronic devices responding to well-defined input signals by suitably changing their internal state (‘weight’), thereby exhibiting `synapse-like’ plasticity. This is in stark contrast to circuit-oriented approaches where the `synaptic weight’ variable has to be first stored, typically as charge on a capacitor or digitally, and then appropriately changed via complicated circuitry. The shift of very much complexity from circuitry to devices could potentially be a major enabling factor for very-large scale `synaptic electronics’, particularly if the new devices can be operated at much lower power budgets than their corresponding 'traditional' circuit replacements. To bring this promise to fruition, synergy between the well-established practices of the circuit-oriented approach and the vastness of possibilities opened by the advent of novel nanoelectronic devices with rich internal dynamics is absolutely essential and will create the opportunity for radical innovation in both fields. The result of such synergy can be of potentially staggering impact to the progress of our efforts to both simulate the brain and ultimately understand it. In this Research Topic, we wish to provide an overview of what constitutes state-of-the-art in terms of enabling technologies for very large scale synaptic electronics, with particular stress on innovative nanoelectronic devices and circuit/system design techniques that can facilitate the development of very large scale brain-inspired electronic systems
Memristor And Memristive Neural Networks
DOWNLOAD
Author : Alex James
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-04-04
Memristor And Memristive Neural Networks written by Alex James and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-04 with Computers categories.
This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: (1) Devices, (2) Models and (3) Applications. The resistive switching property is an important aspect of the memristors, and there are several designs of this discussed in this book, such as in metal oxide/organic semiconductor nonvolatile memories, nanoscale switching and degradation of resistive random access memory and graphene oxide-based memristor. The modelling of the memristors is required to ensure that the devices can be put to use and improve emerging application. In this book, various memristor models are discussed, from a mathematical framework to implementations in SPICE and verilog, that will be useful for the practitioners and researchers to get a grounding on the topic. The applications of the memristor models in various neuromorphic networks are discussed covering various neural network models, implementations in A/D converter and hierarchical temporal memories.
Brain Plasticity
DOWNLOAD
Author : Xena Mindhurst
language : en
Publisher: Publifye AS
Release Date : 2024-10-11
Brain Plasticity written by Xena Mindhurst and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-11 with Psychology categories.
""Brain Plasticity"" explores the fascinating realm of neuroplasticity, the brain's remarkable ability to adapt and change throughout life. This engaging book challenges long-held beliefs about brain capabilities, delving into the science behind neural adaptation, its impact on learning and education, and its potential in treating neurological disorders. From the history of neuroscience to cutting-edge research, the book guides readers through the intricacies of brain plasticity, making complex concepts accessible to a general audience interested in human cognition and health. The book's unique approach lies in its integration of scientific research with practical applications. It presents compelling case studies, such as stroke survivors regaining lost abilities, to illustrate the power of neuroplasticity. Readers will discover evidence-based strategies for enhancing learning, memory, and cognitive function, making the content valuable for students, professionals, and curious individuals alike. As the narrative progresses, it explores how neuroplasticity principles are revolutionizing educational methods, cognitive therapies, and even the development of brain-computer interfaces. By examining neuroplasticity across different life stages and in various contexts, from skill acquisition to brain injury recovery, ""Brain Plasticity"" offers a comprehensive view of the brain's adaptive capabilities. The book's interdisciplinary approach, connecting neuroscience with psychology and education, provides readers with a holistic understanding of this groundbreaking field and its far-reaching implications for human potential.
Synaptic Plasticity In Neurodegenerative Disorders
DOWNLOAD
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.
Advances In Memristor Neural Networks Modeling And Applications
DOWNLOAD
Author : Calin Ciufudean
language : en
Publisher:
Release Date : 2018
Advances In Memristor Neural Networks Modeling And Applications written by Calin Ciufudean and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Mathematics categories.
Nowadays, scientific research deals with alternative solutions for creating non-traditional computing systems, such as neural network architectures where the stochastic nature and live dynamics of memristive models play a key role. The features of memristors make it possible to direct processing and analysis of both biosystems and systems driven by artificial intelligence, as well as develop plausible physical models of spiking neural networks with self-organization. This book deals with advanced applications illustrating these concepts, and delivers an important contribution for the achievement of the next generation of intelligent hybrid biostructures. Different modeling and simulation tools can deliver an alternative to funding the theoretical approach as well as practical implementation of memristive systems.
Synaptic Circuits And Functions In Bio Inspired Integrated Architectures
DOWNLOAD
Author : Ole Richter
language : en
Publisher: University of Groningen
Release Date : 2024-10-15
Synaptic Circuits And Functions In Bio Inspired Integrated Architectures written by Ole Richter and has been published by University of Groningen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Technology & Engineering categories.
Based upon the most advanced human-made technology on this planet, CMOS integrated circuit technology, this dissertation examines the design of hardware components and systems to establish a technological foundation for the application of future breakthroughs in the intersection of AI and neuroscience. Humans have long imagined machines, robots, and computers that learn and display intelligence akin to animals and themselves. To advance the development of these machines, specialised research in custom-built hardware designed for specific types of computation, which mirrors the structure of powerful biological nervous systems, is especially important. This dissertation is driven by the quest to harness biological and artificial neural principles to enhance the efficiency, adaptability, and intelligence of electronic neurosynaptic and neuromorphic hardware systems. It investigates the hardware design of bio-inspired neural components and their integration into more extensive scale and efficient chip architectures suitable for edge processing and near-sensor environments. Exploring all steps to the creation of a custom chip, this work selectively surveys and advances the state-of-the-art in bio-inspired mixed-signal subthreshold integrated design for neurosynaptic systems in a practical fashion. Further, it presents a novel asynchronous digital convolutional neuronal network processing pipeline integrated with a vision sensor for smart sensing. In conclusion, it sets forth a series of open challenges and future directions for the field, emphasizing the need for a robust, future-proof base for bio-inspired design and the potential of asynchronous stream processor architectures.