Dynamic Synapse Protocol
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Dynamic Synapse Protocol
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Author : Stuart Warren
language : en
Publisher: Stuart Warren
Release Date : 2020-12
Dynamic Synapse Protocol written by Stuart Warren and has been published by Stuart Warren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12 with categories.
Eight hundred years after humanity's extinction, Aia, an android, awakens in the tundra of Alberta, Canada. It has no knowledge of the time before, and the world ahead holds the answers it seeks. What happened to its creator? Will it find its place in machine society? As Aia encounters civilization, it quickly learns that self-actualization is not for all: machines live within a caste system, bound to their peers with no means of promotion. Within the eclectic city-state of HUB 9, situated in the idyllic ruins of San Francisco, Aia is indentured to a sewage processing facility and nearly gives up hope until it is mysteriously promoted from its current assignment by Donnie Eberstark, a member of the social elite bent on preserving humanity's legacy and culture. While discovering where it fits in, Aia becomes embroiled in a high stakes political movement that will decide the future of machine-kind. Immersive, meditative, and witty, Stuart Warren's second full-length novel Dynamic Synapse Protocol explores the aftermath of humanity's fall and the difficult choice between exalting the past or embracing the future.
The Dynamic Synapse
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Author : Josef T. Kittler
language : en
Publisher: CRC Press
Release Date : 2006-03-27
The Dynamic Synapse written by Josef T. Kittler and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-27 with Medical categories.
Exploring the diverse tools and technologies used to study synaptic processes, The Dynamic Synapse: Molecular Methods in Ionotropic Receptor Biology delineates techniques, methods, and conceptual advances for studying neurotransmitter receptors and other synaptic proteins. It describes a broad range of molecular, biochemica
The Immune Synapse
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Author : Cosima T. Baldari
language : en
Publisher: Springer Nature
Release Date : 2023-04-27
The Immune Synapse written by Cosima T. Baldari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-27 with Science categories.
This new collection features the most up-to-date essential protocols that are currently being used to study the immune synapse. Beginning with methods for making biophysical measurements, the volume continues by covering the cell biology of synapses, methods for advanced substrate engineering, mechanobiology topics, new technologies to describe and manipulate synaptic components, as well as methods related to sites of action and immunotherapy. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and fully updated, The Immune Synapse: Methods and Protocols, Second Edition serves as an ideal practical guide for researchers working in this dynamic field. Chapters 5, 11, 18, 27, 30, and 32 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Neural Information Processing With Dynamical Synapses
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Author : Si Wu
language : en
Publisher: Frontiers E-books
Release Date : 2015-01-08
Neural Information Processing With Dynamical Synapses written by Si Wu and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-08 with Neurosciences. Biological psychiatry. Neuropsychiatry categories.
Synapse Development Methods And Protocols
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Author : Alexandros Poulopoulos
language : en
Publisher: Methods in Molecular Biology
Release Date : 2018-12-24
Synapse Development Methods And Protocols written by Alexandros Poulopoulos and has been published by Methods in Molecular Biology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-24 with Medical categories.
Patch Clamp Methods And Protocols
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Author : Peter Molnar
language : en
Publisher: Springer Science & Business Media
Release Date : 2007
Patch Clamp Methods And Protocols written by Peter Molnar and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Medical categories.
Patch Clamp Methods and Protocols surveys the typical patch clamp applications and advises scientists on identifying problems and selecting the best technique in each instance. The experiments described require a basic level of electrophysiological training and aid the researcher in pursuing new areas of electrophysiology and using the patch clamp technique effectively. Patch Clamp Methods and Protocols is divided into three sections that cover the major areas of patch clamp application: Pharmacology, Physiology, and Biophysics. The first section provides examples and step by step instructions on how to use whole-cell and single-channel patch clamp methods for testing drugs in industrial settings. The second section provides a wide selection of patch clamp applications in physiological studies. The last part focuses on the biophysical applications of the patch clamp method using single channel recordings or statistical analysis of whole-cell currents in order to obtain parameters that describe ion channel properties or transmitter release. Individual techniques are explored within the area that they are applied most often. Researchers will find Patch Clamp Methods and Protocols to be an invaluable aid in the design and execution of a wide variety of patch clamp experiments, both on their own and in conjunction with other state-of-the-art methodologies.
The Role Of Synaptic Tagging And Capture For Memory Dynamics In Spiking Neural Networks
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Author : Jannik Luboeinski
language : en
Publisher:
Release Date : 2021-09-02
The Role Of Synaptic Tagging And Capture For Memory Dynamics In Spiking Neural Networks written by Jannik Luboeinski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-02 with Science categories.
Memory serves to process and store information about experiences such that this information can be used in future situations. The transfer from transient storage into long-term memory, which retains information for hours, days, and even years, is called consolidation. In brains, information is primarily stored via alteration of synapses, so-called synaptic plasticity. While these changes are at first in a transient early phase, they can be transferred to a late phase, meaning that they become stabilized over the course of several hours. This stabilization has been explained by so-called synaptic tagging and capture (STC) mechanisms. To store and recall memory representations, emergent dynamics arise from the synaptic structure of recurrent networks of neurons. This happens through so-called cell assemblies, which feature particularly strong synapses. It has been proposed that the stabilization of such cell assemblies by STC corresponds to so-called synaptic consolidation, which is observed in humans and other animals in the first hours after acquiring a new memory. The exact connection between the physiological mechanisms of STC and memory consolidation remains, however, unclear. It is equally unknown which influence STC mechanisms exert on further cognitive functions that guide behavior. On timescales of minutes to hours (that means, the timescales of STC) such functions include memory improvement, modification of memories, interference and enhancement of similar memories, and transient priming of certain memories. Thus, diverse memory dynamics may be linked to STC, which can be investigated by employing theoretical methods based on experimental data from the neuronal and the behavioral level. In this thesis, we present a theoretical model of STC-based memory consolidation in recurrent networks of spiking neurons, which are particularly suited to reproduce biologically realistic dynamics. Furthermore, we combine the STC mechanisms with calcium dynamics, which have been found to guide the major processes of early-phase synaptic plasticity in vivo. In three included research articles as well as additional sections, we develop this model and investigate how it can account for a variety of behavioral effects. We find that the model enables the robust implementation of the cognitive memory functions mentioned above. The main steps to this are: 1. demonstrating the formation, consolidation, and improvement of memories represented by cell assemblies, 2. showing that neuromodulator-dependent STC can retroactively control whether information is stored in a temporal or rate-based neural code, and 3. examining interaction of multiple cell assemblies with transient and attractor dynamics in different organizational paradigms. In summary, we demonstrate several ways by which STC controls the late-phase synaptic structure of cell assemblies. Linking these structures to functional dynamics, we show that our STC-based model implements functionality that can be related to long-term memory. Thereby, we provide a basis for the mechanistic explanation of various neuropsychological effects. Keywords: synaptic plasticity; synaptic tagging and capture; spiking recurrent neural networks; memory consolidation; long-term memory
Emerging Mechanisms In Dynamic Gabaergic Inhibition
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Author : Shiva K. Tyagarajan
language : en
Publisher: Frontiers Media SA
Release Date : 2021-12-01
Emerging Mechanisms In Dynamic Gabaergic Inhibition written by Shiva K. Tyagarajan 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 2021-12-01 with Science categories.
Neuronal Dynamics
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Author : Wulfram Gerstner
language : en
Publisher: Cambridge University Press
Release Date : 2014-07-24
Neuronal Dynamics written by Wulfram Gerstner and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-24 with Computers categories.
This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
Learning In Energy Efficient Neuromorphic Computing Algorithm And Architecture Co Design
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Author : Nan Zheng
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-18
Learning In Energy Efficient Neuromorphic Computing Algorithm And Architecture Co Design written by Nan Zheng 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 2019-10-18 with Computers categories.
Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities—and provides co-design and co-optimization methodologies for building hardware neural networks that can learn. Presenting a complete picture from high-level algorithm to low-level implementation details, Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design also covers many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks. The book begins with an overview of neural networks. It then discusses algorithms for utilizing and training rate-based artificial neural networks. Next comes an introduction to various options for executing neural networks, ranging from general-purpose processors to specialized hardware, from digital accelerator to analog accelerator. A design example on building energy-efficient accelerator for adaptive dynamic programming with neural networks is also presented. An examination of fundamental concepts and popular learning algorithms for spiking neural networks follows that, along with a look at the hardware for spiking neural networks. Then comes a chapter offering readers three design examples (two of which are based on conventional CMOS, and one on emerging nanotechnology) to implement the learning algorithm found in the previous chapter. The book concludes with an outlook on the future of neural network hardware. Includes cross-layer survey of hardware accelerators for neuromorphic algorithms Covers the co-design of architecture and algorithms with emerging devices for much-improved computing efficiency Focuses on the co-design of algorithms and hardware, which is especially critical for using emerging devices, such as traditional memristors or diffusive memristors, for neuromorphic computing Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design is an ideal resource for researchers, scientists, software engineers, and hardware engineers dealing with the ever-increasing requirement on power consumption and response time. It is also excellent for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities.