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Synaptic Plasticity For Neuromorphic Systems
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Book Synopsis Synaptic Plasticity for Neuromorphic Systems by : Christian Mayr
Download or read book Synaptic Plasticity for Neuromorphic Systems written by Christian Mayr and published by Frontiers Media SA. This book was released on 2016-06-26 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Synaptic Plasticity in Neuromorphic Systems by :
Download or read book Synaptic Plasticity in Neuromorphic Systems written by and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Translational Research in Traumatic Brain Injury by : Daniel Laskowitz
Download or read book Translational Research in Traumatic Brain Injury written by Daniel Laskowitz and published by CRC Press. This book was released on 2016-04-21 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traumatic brain injury (TBI) remains a significant source of death and permanent disability, contributing to nearly one-third of all injury related deaths in the United States and exacting a profound personal and economic toll. Despite the increased resources that have recently been brought to bear to improve our understanding of TBI, the developme
Book Synopsis Synaptic Plasticity by : Thomas Heinbockel
Download or read book Synaptic Plasticity written by Thomas Heinbockel and published by BoD – Books on Demand. This book was released on 2017-06-21 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nerve cells form thousands of contact points, the synapses, to communicate information with other neurons and target cells. Synapses are sites for changes in brain function through modification of synaptic transmission termed synaptic plasticity. The study of synaptic plasticity has flourished over the years with the advancement of technical breakthroughs and is a timely scientific endeavor today just like it was several decades ago. This book contributes to our understanding of synaptic plasticity at the molecular, biochemical, and cellular systems and behavioral level and informs the reader about its clinical relevance. The book contains ten chapters in three sections: (1) "Mechanisms of Synaptic Plasticity," (2) "Neural Plasticity," and (3) "Plasticity and Neurological Diseases." The book provides detailed and current reviews in these different areas written by experts in their respective fields. The mechanisms of synaptic plasticity and its relation to neurological diseases are featured prominently as a recurring theme throughout most chapters. This book will be most useful for neuroscientists and other scientists alike and will contribute to the training of current and future students who find the plastic nervous system as fascinating as many generations before them.
Book Synopsis Electric-Double-Layer Coupled Oxide-Based Neuromorphic Transistors Studies by : Changjin Wan
Download or read book Electric-Double-Layer Coupled Oxide-Based Neuromorphic Transistors Studies written by Changjin Wan and published by Springer. This book was released on 2019-02-04 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on essential synaptic plasticity emulations and neuromorphic computing applications realized with the aid of three-terminal synaptic devices based on ion-coupled oxide-based electric-double-layer (EDL) transistors. To replicate the robust, plastic and fault-tolerant computational power of the human brain, the emulation of essential synaptic plasticity and computation of neurons/synapse by electronic devices are generally considered to be key steps. The book shows that the formation of an EDL at the dielectric/channel interface that slightly lags behind the stimuli can be attributed to the electrostatic coupling between ions and electrons; this mechanism underlies the emulation of short-term synaptic behaviors. Furthermore, it demonstrates that electrochemical doping/dedoping processes in the semiconducting channel by penetrated ions from electrolyte can be utilized for the emulation of long-term synaptic behaviors. Lastly, it applies these synaptic transistors in an artificial visual system to demonstrate the potential for constructing neuromorphic systems. Accordingly, the book offers a unique resource on understanding the brain-machine interface, brain-like chips, artificial cognitive systems, etc.
Book Synopsis Enabling Technologies for Very Large-Scale Synaptic Electronics by : Themis Prodromakis
Download or read book Enabling Technologies for Very Large-Scale Synaptic Electronics written by Themis Prodromakis and published by Frontiers Media SA. This book was released on 2018-07-05 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Computational Systems Biology Of Synaptic Plasticity: Modelling Of Biochemical Pathways Related To Memory Formation And Impairement by : Don Kulasiri
Download or read book Computational Systems Biology Of Synaptic Plasticity: Modelling Of Biochemical Pathways Related To Memory Formation And Impairement written by Don Kulasiri and published by #N/A. This book was released on 2017-06-09 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates the power of mathematical thinking in understanding the biological complexity that exists within the brain. It looks at the latest research on modelling of biochemical pathways within synapses, and provides a clear background for the study of mathematical models related to systems biology. Discussion then focusses on developments in computational models based on networks linked to synaptic plasticity. The models are used to understand memory formation and impairment and they provide a mathematical basis for memory research.Computational Systems Biology of Synaptic Plasticity is a valuable source of knowledge to postgraduate students and researchers in computational systems biology, and as a reference book for various techniques that are needed in modelling biological processes.
Download or read book Synaptic Plasticity written by and published by . This book was released on 19?? with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Biohybrid Systems written by Ranu Jung and published by John Wiley & Sons. This book was released on 2011-11-30 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The discipline of neurodesign is a highly interdisciplinary one, while at the same time in the process of maturing towards real-life applications. The breakthrough about to be achieved is to close the loop in communication between neural systems and electronic and mechatronic systems and actually let the nervous system adapt to the feedback from the man-made systems. To master this loop, scientists need a sound understanding of neurology, from the cellular to the systems scale, of man-made systems and how to connect the two. These scientists comprise medical scientists, neurologists and physiologists, engineers, as well as biophysicists. And they need the topics in a coherently written work with chapters building upon another.
Book Synopsis Neuromorphic Cognitive Systems by : Qiang Yu
Download or read book Neuromorphic Cognitive Systems written by Qiang Yu and published by Springer. This book was released on 2017-05-03 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks. It is beneficial to a wide spectrum of readers, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics. The book formulates a systematic framework, from the basic mathematical and computational methods in spike-based neural encoding, learning in both single and multi-layered networks, to a near cognitive level composed of memory and cognition. Since the mechanisms for integrating spiking neurons integrate to formulate cognitive functions as in the brain are little understood, studies of neuromorphic cognitive systems are urgently needed. The topics covered in this book range from the neuronal level to the system level. In the neuronal level, synaptic adaptation plays an important role in learning patterns. In order to perform higher-level cognitive functions such as recognition and memory, spiking neurons with learning abilities are consistently integrated, building a system with encoding, learning and memory functionalities. The book describes these aspects in detail.
Book Synopsis Event-Based Neuromorphic Systems by : Shih-Chii Liu
Download or read book Event-Based Neuromorphic Systems written by Shih-Chii Liu and published by John Wiley & Sons. This book was released on 2014-12-23 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors. Event-based neuromorphic systems are inspired by the brain's efficient data-driven communication design, which is key to its quick responses and remarkable capabilities. This cross-disciplinary text establishes how circuit building blocks are combined in architectures to construct complete systems. These include vision and auditory sensors as well as neuronal processing and learning circuits that implement models of nervous systems. Techniques for building multi-chip scalable systems are considered throughout the book, including methods for dealing with transistor mismatch, extensive discussions of communication and interfacing, and making systems that operate in the real world. The book also provides historical context that helps relate the architectures and circuits to each other and that guides readers to the extensive literature. Chapters are written by founding experts and have been extensively edited for overall coherence. This pioneering text is an indispensable resource for practicing neuromorphic electronic engineers, advanced electrical engineering and computer science students and researchers interested in neuromorphic systems. Key features: Summarises the latest design approaches, applications, and future challenges in the field of neuromorphic engineering. Presents examples of practical applications of neuromorphic design principles. Covers address-event communication, retinas, cochleas, locomotion, learning theory, neurons, synapses, floating gate circuits, hardware and software infrastructure, algorithms, and future challenges.
Download or read book Neuromorphic Computing written by and published by BoD – Books on Demand. This book was released on 2023-11-15 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the cutting-edge world of Neuromorphic Computing, a groundbreaking volume that unravels the secrets of brain-inspired computational paradigms. Spanning neuroscience, artificial intelligence, and hardware design, this book presents a comprehensive exploration of neuromorphic systems, empowering both experts and newcomers to embrace the limitless potential of brain-inspired computing. Discover the fundamental principles that underpin neural computation as we journey through the origins of neuromorphic architectures, meticulously crafted to mimic the brain’s intricate neural networks. Unlock the true essence of learning mechanisms – unsupervised, supervised, and reinforcement learning – and witness how these innovations are shaping the future of artificial intelligence.
Book Synopsis Memristors for Neuromorphic Circuits and Artificial Intelligence Applications by : Jordi Suñé
Download or read book Memristors for Neuromorphic Circuits and Artificial Intelligence Applications written by Jordi Suñé and published by MDPI. This book was released on 2020-04-09 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network is trained, it can recognize unforeseen data and provide useful information. The so-called Spiking Neural Networks behave similarly to how the brain functions and are very energy efficient. Up to this moment, both spiking and conventional neural networks have been implemented in software programs running on conventional computing units. However, this approach requires high computing power, a large physical space and is energy inefficient. Thus, there is an increasing interest in developing AI tools directly implemented in hardware. The first hardware demonstrations have been based on CMOS circuits for neurons and specific communication protocols for synapses. However, to further increase training speed and energy efficiency while decreasing system size, the combination of CMOS neurons with memristor synapses is being explored. The memristor is a resistor with memory which behaves similarly to biological synapses. This book explores the state-of-the-art of neuromorphic circuits implementing neural networks with memristors for AI applications.
Book Synopsis Neuromorphic Devices for Brain-inspired Computing by : Qing Wan
Download or read book Neuromorphic Devices for Brain-inspired Computing written by Qing Wan and published by John Wiley & Sons. This book was released on 2022-05-16 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Synaptic Plasticity and Transsynaptic Signaling by : Patric K. Stanton
Download or read book Synaptic Plasticity and Transsynaptic Signaling written by Patric K. Stanton and published by Springer Science & Business Media. This book was released on 2006-06-14 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain functions are realized by the activity of neuronal networks composed of a huge number of neurons. The efficiency of information transfer within the networks is changeable. Even the networks themselves can change through experience. Information transfer between neurons is performed at the synapse (the site of the neurons’ contact) by release of neurotransmitters from the pre-synaptic cell and capture of neurotransmitters by the post-synaptic cell. The amount of released neurotransmitter or the efficacy of capture can change. Moreover, synapses are found to be newly formed upon activity or abandoned upon inactivity. These changes are called "synaptic plasticity". This text focuses on one component of synaptic plasticity called transsynaptic signaling, or communication of synapses during their formation.
Book Synopsis Biomolecular Materials Emulate Short-Term Synaptic Plasticity for Signal Processing by : Ahmed Almatar
Download or read book Biomolecular Materials Emulate Short-Term Synaptic Plasticity for Signal Processing written by Ahmed Almatar and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The amount of digital data we are producing is increasing at rapid rates and might soon exceed our current capacity to process it, mostly due to energy limitations. Therefore, to process this vast amount of data, optimizing computing per unit energy is key. Currently, neuromorphic computing, a model for computing that borrows key computational aspects of the human brain, is a leading solution to optimizing computing. However, despite major progress, solid-state neuromorphic computing hardware bears little resemblance to biological neurons and synapses, and thus, is still lagging in performance and energy efficiency compared to the brain. This study investigates a different approach to neuromorphic systems by using biomolecular memory elements as opposed to silicon-based elements. Replacing silicon with biomembranes to form memristors enables the emulation of short-term synaptic plasticity--a signal filtering property of biological synapses. The performance of the biomembrane has been tested experimentally using a DC signal as the input and a solid-state neuron circuit as the load. The biomembrane was determined to be exhibiting short-term synaptic plasticity by controlling the firing rate of the neuron. The results suggest that our biomolecular memristor is capable of performing basic signal processing tasks, namely, high-pass filtering. However, the behavior of networks of biomembranes remains unknown and is of great interest.
Book Synopsis Neural Plasticity and Memory by : Federico Bermudez-Rattoni
Download or read book Neural Plasticity and Memory written by Federico Bermudez-Rattoni and published by CRC Press. This book was released on 2007-04-17 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, multidisciplinary review, Neural Plasticity and Memory: From Genes to Brain Imaging provides an in-depth, up-to-date analysis of the study of the neurobiology of memory. Leading specialists share their scientific experience in the field, covering a wide range of topics where molecular, genetic, behavioral, and brain imaging techniq
