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Spike Timing Dependent Plasticity


Spike Timing Dependent Plasticity
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Spike Timing Dependent Plasticity


Spike Timing Dependent Plasticity
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Author : Henry Markram
language : en
Publisher: Frontiers E-books
Release Date :

Spike Timing Dependent Plasticity written by Henry Markram 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 with categories.


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


Memristor And Memristive Neural Networks
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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.



Artificial Intelligence Xxxvii


Artificial Intelligence Xxxvii
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Author : Max Bramer
language : en
Publisher: Springer Nature
Release Date : 2020-12-08

Artificial Intelligence Xxxvii written by Max Bramer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-08 with Computers categories.


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.



Theory Of Cortical Plasticity


Theory Of Cortical Plasticity
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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.



Spiking Neural Network Learning Benchmarking Programming And Executing


Spiking Neural Network Learning Benchmarking Programming And Executing
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Author : Guoqi Li
language : en
Publisher: Frontiers Media SA
Release Date : 2020-06-05

Spiking Neural Network Learning Benchmarking Programming And Executing written by Guoqi Li 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 2020-06-05 with categories.




The Neuron Book


The Neuron Book
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Author : Nicholas T. Carnevale
language : en
Publisher: Cambridge University Press
Release Date : 2006-01-12

The Neuron Book written by Nicholas T. Carnevale 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 2006-01-12 with Medical categories.


The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.



Encyclopedia Of Computational Neuroscience


Encyclopedia Of Computational Neuroscience
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Author : Dieter Jaeger
language : en
Publisher:
Release Date :

Encyclopedia Of Computational Neuroscience written by Dieter Jaeger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computational neuroscience categories.




A Spiking Neuron Training Approach Using Spike Timing Dependent Plasticity Stdp


A Spiking Neuron Training Approach Using Spike Timing Dependent Plasticity Stdp
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Author : Thomas Strain
language : en
Publisher:
Release Date : 2010

A Spiking Neuron Training Approach Using Spike Timing Dependent Plasticity Stdp written by Thomas Strain and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.




Exploring Spike Timing Dependent Plasticity


Exploring Spike Timing Dependent Plasticity
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Author : Rishidev Chaudhuri
language : en
Publisher:
Release Date : 2005

Exploring Spike Timing Dependent Plasticity written by Rishidev Chaudhuri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Fokker-Planck equation categories.




Spike Timing Dependent Plasticity Of Receptive Fields In Primary Visual Cortex


Spike Timing Dependent Plasticity Of Receptive Fields In Primary Visual Cortex
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Author : Chad Daniel Meliza
language : en
Publisher:
Release Date : 2005

Spike Timing Dependent Plasticity Of Receptive Fields In Primary Visual Cortex written by Chad Daniel Meliza and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.