Spike Timing Dependent Plasticity

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Spike-timing dependent plasticity

Author : Henry Markram,Wulfram Gerstner,Per Jesper Sjöström
Publisher : Frontiers E-books
Page : 575 pages
File Size : 40,7 Mb
Release : 2024-06-03
Category : Electronic
ISBN : 9782889190430

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Spike-timing dependent plasticity by Henry Markram,Wulfram Gerstner,Per Jesper Sjöström Pdf

Hebb's postulate provided a crucial framework to understand synaptic alterations underlying learning and memory. Hebb's theory proposed that neurons that fire together, also wire together, which provided the logical framework for the strengthening of synapses. Weakening of synapses was however addressed by "not being strengthened", and it was only later that the active decrease of synaptic strength was introduced through the discovery of long-term depression caused by low frequency stimulation of the presynaptic neuron. In 1994, it was found that the precise relative timing of pre and postynaptic spikes determined not only the magnitude, but also the direction of synaptic alterations when two neurons are active together. Neurons that fire together may therefore not necessarily wire together if the precise timing of the spikes involved are not tighly correlated. In the subsequent 15 years, Spike Timing Dependent Plasticity (STDP) has been found in multiple brain brain regions and in many different species. The size and shape of the time windows in which positive and negative changes can be made vary for different brain regions, but the core principle of spike timing dependent changes remain. A large number of theoretical studies have also been conducted during this period that explore the computational function of this driving principle and STDP algorithms have become the main learning algorithm when modeling neural networks. This Research Topic will bring together all the key experimental and theoretical research on STDP.

Memristor and Memristive Neural Networks

Author : Alex James
Publisher : BoD – Books on Demand
Page : 326 pages
File Size : 42,9 Mb
Release : 2018-04-04
Category : Computers
ISBN : 9789535139478

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Memristor and Memristive Neural Networks by Alex James Pdf

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.

Encyclopedia of Computational Neuroscience

Author : Dieter Jäger,Ranu Jung
Publisher : Springer
Page : 3663 pages
File Size : 50,6 Mb
Release : 2022-04-26
Category : Medical
ISBN : 107161004X

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Encyclopedia of Computational Neuroscience by Dieter Jäger,Ranu Jung Pdf

The annual Computational Neuroscience Meeting (CNS) began in 1990 as a small workshop called Analysis and Modeling of Neural Systems. The goal of the workshop was to explore the boundary between neuroscience and computation. Riding on the success of several seminal papers, physicists had made "Neural Networks" fashionable, and soon the quantitative methods used in these abstract model networks started permeating the methods and ideas of experimental neuroscientists. Although experimental neurophysiological approaches provided many advances, it became increasingly evident that mathematical and computational techniques would be required to achieve a comprehensive and quantitative understanding of neural system function. “Computational Neuroscience” emerged to complement experimental neurophysiology. The Encyclopedia of Computational Neuroscience, published in conjunction with the Organization for Computational Neuroscience, will be an extensive reference work consultable by both researchers and graduate level students. It will be a dynamic, living reference, updatable and containing linkouts and multimedia content whenever relevant.

An Introduction to Modeling Neuronal Dynamics

Author : Christoph Börgers
Publisher : Springer
Page : 457 pages
File Size : 47,8 Mb
Release : 2017-04-17
Category : Mathematics
ISBN : 9783319511719

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An Introduction to Modeling Neuronal Dynamics by Christoph Börgers Pdf

This book is intended as a text for a one-semester course on Mathematical and Computational Neuroscience for upper-level undergraduate and beginning graduate students of mathematics, the natural sciences, engineering, or computer science. An undergraduate introduction to differential equations is more than enough mathematical background. Only a slim, high school-level background in physics is assumed, and none in biology. Topics include models of individual nerve cells and their dynamics, models of networks of neurons coupled by synapses and gap junctions, origins and functions of population rhythms in neuronal networks, and models of synaptic plasticity. An extensive online collection of Matlab programs generating the figures accompanies the book.

Inhibitory Synaptic Plasticity

Author : Melanie A. Woodin,Arianna Maffei
Publisher : Springer Science & Business Media
Page : 187 pages
File Size : 55,8 Mb
Release : 2010-11-02
Category : Medical
ISBN : 9781441969781

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Inhibitory Synaptic Plasticity by Melanie A. Woodin,Arianna Maffei Pdf

This volume will explore the most recent findings on cellular mechanisms of inhibitory plasticity and its functional role in shaping neuronal circuits, their rewiring in response to experience, drug addiction and in neuropathology. Inhibitory Synaptic Plasticity will be of particular interest to neuroscientists and neurophysiologists.

Neuronal Dynamics

Author : Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski
Publisher : Cambridge University Press
Page : 591 pages
File Size : 43,8 Mb
Release : 2014-07-24
Category : Computers
ISBN : 9781107060838

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Neuronal Dynamics by Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski Pdf

This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Spike-timing Dependent Plasticity in Recurrent Networks

Author : Abigail Rhodes-Morrison
Publisher : Unknown
Page : 157 pages
File Size : 54,6 Mb
Release : 2005
Category : Electronic
ISBN : OCLC:180854171

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Spike-timing Dependent Plasticity in Recurrent Networks by Abigail Rhodes-Morrison Pdf

Synaptic Plasticity in the Hippocampus

Author : Helmut L. Haas,György Buzsaki
Publisher : Springer Science & Business Media
Page : 219 pages
File Size : 54,6 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9783642732027

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Synaptic Plasticity in the Hippocampus by Helmut L. Haas,György Buzsaki Pdf

This is the second time that I have had the honor of opening an interna tional symposium dedicated to the functions of the hippocampus here in Pecs. It was a pleasure to greet the participants in the hope that their valuable contributions will make this meeting a tradition in this town. As one of the hosts of the symposium, I had the sorrowful duty to remind you of the absence of a dear colleague, Professor Graham God dard. His tragic and untimely death represents the irreparable loss of both a friend and an excellent researcher. This symposium is dedicated to his memory. If I compare the topics of the lectures of this symposium with those of the previous one, a striking difference becomes apparent. A dominating tendency of the previous symposium was to attempt to define hippocam pal function or to offer data relevant to supporting or rejecting existing theoretical positions. No such tendency is reflected in the titles of the present symposium, in which most of the contributions deal with hip pocampal phenomena at the most elementary level. Electrical, biochemi cal, biophysical, and pharmacological events at the synaptic, membrane, or intracellular level are analyzed without raising the question of what kind of integral functions these elementary phenomena are a part of.

Handbook of Memristor Networks

Author : Leon Chua,Georgios Ch. Sirakoulis,Andrew Adamatzky
Publisher : Springer Nature
Page : 1368 pages
File Size : 42,7 Mb
Release : 2019-11-12
Category : Computers
ISBN : 9783319763750

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Handbook of Memristor Networks by Leon Chua,Georgios Ch. Sirakoulis,Andrew Adamatzky Pdf

This Handbook presents all aspects of memristor networks in an easy to read and tutorial style. Including many colour illustrations, it covers the foundations of memristor theory and applications, the technology of memristive devices, revised models of the Hodgkin-Huxley Equations and ion channels, neuromorphic architectures, and analyses of the dynamic behaviour of memristive networks. It also shows how to realise computing devices, non-von Neumann architectures and provides future building blocks for deep learning hardware. With contributions from leaders in computer science, mathematics, electronics, physics, material science and engineering, the book offers an indispensable source of information and an inspiring reference text for future generations of computer scientists, mathematicians, physicists, material scientists and engineers working in this dynamic field.

Artificial Intelligence XXXVII

Author : Max Bramer,Richard Ellis
Publisher : Springer Nature
Page : 407 pages
File Size : 54,7 Mb
Release : 2020-12-08
Category : Computers
ISBN : 9783030637996

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Artificial Intelligence XXXVII by Max Bramer,Richard Ellis Pdf

This book constitutes the proceedings of the 40th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2020, which was supposed to be held in Cambridge, UK, in December 2020. The conference was held virtually due to the COVID-19 pandemic. The 23 full papers and 9 short papers presented in this volume were carefully reviewed and selected from 44 submissions. The volume includes technical papers presenting new and innovative developments in the field as well as application papers presenting innovative applications of AI techniques in a number of subject domains. The papers are organized in the following topical sections: neural nets and knowledge management; machine learning; industrial applications; advances in applied AI; and medical and legal applications.

Neural Circuit and Cognitive Development

Author : Bin Chen,Kenneth Y. Kwan
Publisher : Academic Press
Page : 670 pages
File Size : 41,9 Mb
Release : 2020-06-10
Category : Psychology
ISBN : 9780128144121

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Neural Circuit and Cognitive Development by Bin Chen,Kenneth Y. Kwan Pdf

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

Spiking Neuron Models

Author : Wulfram Gerstner,Werner M. Kistler
Publisher : Cambridge University Press
Page : 498 pages
File Size : 55,6 Mb
Release : 2002-08-15
Category : Computers
ISBN : 0521890799

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Spiking Neuron Models by Wulfram Gerstner,Werner M. Kistler Pdf

This is an introduction to spiking neurons for advanced undergraduate or graduate students. It can be used with courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or neural networks. It focuses on phenomenological approaches rather than detailed models in order to provide the reader with a conceptual framework. No prior knowledge beyond undergraduate mathematics is necessary to follow the book. Thus it should appeal to students or researchers in physics, mathematics, or computer science interested in biology; moreover it will also be useful for biologists working in mathematical modeling.

Spiking Neural Network Learning, Benchmarking, Programming and Executing

Author : Guoqi Li,Yam Song (Yansong) Chua,Haizhou Li,Peng Li,Emre O. Neftci,Lei Deng
Publisher : Frontiers Media SA
Page : 234 pages
File Size : 50,5 Mb
Release : 2020-06-05
Category : Electronic
ISBN : 9782889637676

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Spiking Neural Network Learning, Benchmarking, Programming and Executing by Guoqi Li,Yam Song (Yansong) Chua,Haizhou Li,Peng Li,Emre O. Neftci,Lei Deng Pdf

Artificial Intelligence XXXVIII

Author : Max Bramer,Richard Ellis
Publisher : Springer Nature
Page : 387 pages
File Size : 40,8 Mb
Release : 2021-12-06
Category : Computers
ISBN : 9783030911003

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Artificial Intelligence XXXVIII by Max Bramer,Richard Ellis Pdf

This book constitutes the proceedings of the 41st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2021, which was supposed to be held in Cambridge, UK, in December 2021. The conference was held virtually due to the COVID-19 pandemic. The 22 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 37 submissions. The volume includes technical papers presenting new and innovative developments in the field as well as application papers presenting innovative applications of AI techniques in a number of subject domains. The papers are organized in the following topical sections: technical paper; machine learning; AI techniques; short technical stream papers; application papers; applications of machine learning; AI for medicine; advances in applied AI; and short application stream papers.

Memristors and Memristive Systems

Author : Ronald Tetzlaff
Publisher : Springer Science & Business Media
Page : 409 pages
File Size : 46,8 Mb
Release : 2013-12-11
Category : Technology & Engineering
ISBN : 9781461490685

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Memristors and Memristive Systems by Ronald Tetzlaff Pdf

This book provides a comprehensive overview of current research on memristors, memcapacitors and, meminductors. In addition to an historical overview of the research in this area, coverage includes the theory behind memristive circuits, as well as memcapacitance, and meminductance. Details are shown for recent applications of memristors for resistive random access memories, neuromorphic systems and hybrid CMOS/memristor circuits. Methods for the simulation of memristors are demonstrated and an introduction to neuromorphic modeling is provided.