Download or read book Self Organization and Associative Memory written by Teuvo Kohonen and published by Springer. This book was released on 2012-12-06 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two significant things have happened since the writing of the first edition in 1983. One of them is recent arousal of strong interest in general aspects of "neural computing", or "neural networks", as the previous neural models are nowadays called. The incentive, of course, has been to develop new com puters. Especially it may have been felt that the so-called fifth-generation computers, based on conventional logic programming, do not yet contain in formation processing principles of the same type as those encountered in the brain. All new ideas for the "neural computers" are, of course, welcome. On the other hand, it is not very easy to see what kind of restrictions there exist to their implementation. In order to approach this problem systematically, cer tain lines of thought, disciplines, and criteria should be followed. It is the pur pose of the added Chapter 9 to reflect upon such problems from a general point of view. Another important thing is a boom of new hardware technologies for dis tributed associative memories, especially high-density semiconductor circuits, and optical materials and components. The era is very close when the parallel processors can be made all-optical. Several working associative memory archi tectures, based solely on optical technologies, have been constructed in recent years. For this reason it was felt necessary to include a separate chapter (Chap. 10) which deals with the optical associative memories. Part of its con tents is taken over from the first edition.
Download or read book Parallel Models of Associative Memory written by Geoffrey E. Hinton and published by Psychology Press. This book was released on 2014-02-25 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.
Download or read book Human Associative Memory written by John R. Anderson and published by Psychology Press. This book was released on 2014-02-25 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1973. This book proposes and tests a theory about human memory, about how a person encodes, retains, and retrieves information from memory. The book is especially concerned with memory for sentential materials. We propose a theoretical framework which is adequate for describing comprehension of linguistic materials, for exhibiting the internal representation of propositional materials, for characterizing the interpretative processes which encode this information into memory and make use of it for remembering, for answering questions, recognizing instances of known categories, drawing inferences, and making deductions.
Download or read book Associative Memory Cells Basic Units of Memory Trace written by Jin-Hui Wang and published by Springer Nature. This book was released on 2019-09-10 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on associative memory cells and their working principles, which can be applied to associative memories and memory-relevant cognitions. Providing comprehensive diagrams, it presents the author's personal perspectives on pathology and therapeutic strategies for memory deficits in patients suffering from neurological diseases and psychiatric disorders. Associative learning is a common approach to acquire multiple associated signals, including knowledge, experiences and skills from natural environments or social interaction. The identification of the cellular and molecular mechanisms underlying associative memory is important in furthering our understanding of the principles of memory formation and memory-relevant behaviors as well as in developing therapeutic strategies that enhance memory capacity in healthy individuals and improve memory deficit in patients suffering from neurological disease and psychiatric disorders. Although a series of hypotheses about neural substrates for associative memory has been proposed, numerous questions still need to be addressed, especially the basic units and their working principle in engrams and circuits specific for various memory patterns. This book summarizes the developments concerning associative memory cells reported in current and past literature, providing a valuable overview of the field for neuroscientists, psychologists and students.
Download or read book Associative Memory written by T. Kohonen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: About the Scope of This Text This book contains two types of material ~ first, the many divergent and often diffuse meanings given to the concepts of association, associative memory, and associative recaZZ are expounded. A review of this kind was felt necessary because there apparently does not exist any single monograph which could serve as a reference to these topics. But the presentation of the main body of this text is motivated by quite other reasons: in recent years, plenty of interesting mathematical and system-theoretical material has been published which makes it possible to gain a view of associative memory which is different from the conventional abstract and computationally oriented approaches. It seems that the basic operation of associative memory, the storage of information together with the relations or links between the data items, and the selective recall of stored information relative to a piece of key or cue information presented, is not restricted to certain computer-technological implementations but can also be reflected in more general mathematically describable processes in certain physical or other systems, especially in their adaptive state changes. It further seems that some generally known forms of associative memory, namely, certain computer technological artifacts, or abstract systems of concepts or data, are in fact special representations of a class of processes characterized as associative memory.
Download or read book Human Associative Memory written by John Robert Anderson and published by Psychology Press. This book was released on 1980 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief edition contains two major parts. The first is the historical analysis of associationism and its countertraditions, which still provides the framework used to relate current research to an important intellectual tradition. The second part of the book reproduces the major components of the HAM theory. In our view, the major contribution of that theory was the propositional network analyses of memory and the placement of those representational assumptions into an information-processing framework. This book is smaller than the previous book on HAM thanks to a re-evaluation of certain sections which have been deleted--some due to out of date information, some because the analyses presented have been replaced by better ones. This book makes the more important points of the original HAM book available at a more economical price. - from the preface.
Download or read book Human Associative Memory written by John R. Anderson and published by Psychology Press. This book was released on 2014-02-25 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1973. This book proposes and tests a theory about human memory, about how a person encodes, retains, and retrieves information from memory. The book is especially concerned with memory for sentential materials. We propose a theoretical framework which is adequate for describing comprehension of linguistic materials, for exhibiting the internal representation of propositional materials, for characterizing the interpretative processes which encode this information into memory and make use of it for remembering, for answering questions, recognizing instances of known categories, drawing inferences, and making deductions.
Download or read book Parallel Models of Associative Memory written by Geoffrey E. Hinton and published by Psychology Press. This book was released on 2014-02-25 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.
Download or read book Associative Illusions of Memory written by David Gallo and published by Psychology Press. This book was released on 2013-05-13 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last decade has seen a flurry of experimental research into the neurocognitive underpinnings of illusory memories. Using simple materials and tests (e.g., recalling words or pictures), methods such as the famed Deese-Roediger-McDermott (DRM) task have attracted considerable attention. These tasks elicit false memories of nonstudied events that are vivid, long lasting, and difficult to consciously avoid. Additional research shows that these memory illusions are fundamentally related to more complex memory distortions. As a result, this rapidly expanding literature has generated a great deal of excitement - and even some controversy - in contemporary psychology. Associative Illusions of Memory provides an ambitious overview of this research area. Starting with the historical roots and major theoretical trends, this book exhaustively reviews the most recent studies by cognitive psychologists, neuropsychologists, and cognitive neuroscientists. The strengths and limits of various experimental techniques are outlined, and the large body of existing data is meaningfully distilled into a few core theoretical concepts. This book highlights the malleability of memory, as well as the strategies and situations that can help us avoid false memories. Throughout the review, it is argued that these basic memory illusions contribute to a deeper understanding of how human memory works.
Download or read book Self Organization and Associative Memory written by Teuvo Kohonen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Information Sciences (IS 8), the book actually stems from Vol. 17 of the series Communication and Cybernetics (CC 17), entitled Associative Memory - A System-Theoretical Approach, which appeared in 1977. That book was the first monograph on distributed associative memories, or "content-addressable memories" as they are frequently called, especially in neural-networks research. This author, however, would like to reserve the term "content-addressable memory" for certain more traditional constructs, the memory locations of which are selected by parallel search. Such devices are discussed in Vol. 1 of the Springer Series in Information Sciences, Content-Addressable Memories. This third edition of IS 8 is rather similar to the second one. Two new discussions have been added: one to the end of Chap. 5, and the other (the L VQ 2 algorithm) to the end of Chap. 7. Moreover, the convergence proof in Sect. 5.7.2 has been revised.
Download or read book Memory in Literature written by S. Nalbantian and published by Springer. This book was released on 2002-11-15 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first to discover and probe in depth memory phenomena captured in literary works. Using literature as a laboratory for the workings of the mind, this comparative study of writers from Jean-Jacques Rousseau to Octavio Paz, including Proust, Breton, Woolf and Faulkner, uncovers valuable material for the classification of the memory process. Nalbantian's daring interdisciplinary work, involving literature, science, and art, forges a new model for dialogue between the disciplines.
Download or read book Artificial Neural Networks ICANN 2008 written by Vera Kurkova-Pohlova and published by Springer. This book was released on 2008-08-29 with total page 1012 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The second volume is devoted to pattern recognition and data analysis, hardware and embedded systems, computational neuroscience, connectionistic cognitive science, neuroinformatics and neural dynamics. it also contains papers from two special sessions coupling, synchronies, and firing patterns: from cognition to disease, and constructive neural networks and two workshops new trends in self-organization and optimization of artificial neural networks, and adaptive mechanisms of the perception-action cycle.
Download or read book Associative Memory written by Teuvo Kohonen and published by . This book was released on 1977-01-01 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Psychology of Learning and Motivation written by and published by Academic Press. This book was released on 1981-01-12 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychology of Learning and Motivation
Download or read book Associative Computing written by Jerry L. Potter and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrating associative processing concepts with massively parallel SIMD technology, this volume explores a model for accessing data by content rather than abstract address mapping.
Download or read book Complex Valued Neural Networks with Multi Valued Neurons written by Igor Aizenberg and published by Springer Science & Business Media. This book was released on 2011-06-24 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex-Valued Neural Networks have higher functionality, learn faster and generalize better than their real-valued counterparts. This book is devoted to the Multi-Valued Neuron (MVN) and MVN-based neural networks. It contains a comprehensive observation of MVN theory, its learning, and applications. MVN is a complex-valued neuron whose inputs and output are located on the unit circle. Its activation function is a function only of argument (phase) of the weighted sum. MVN derivative-free learning is based on the error-correction rule. A single MVN can learn those input/output mappings that are non-linearly separable in the real domain. Such classical non-linearly separable problems as XOR and Parity n are the simplest that can be learned by a single MVN. Another important advantage of MVN is a proper treatment of the phase information. These properties of MVN become even more remarkable when this neuron is used as a basic one in neural networks. The Multilayer Neural Network based on Multi-Valued Neurons (MLMVN) is an MVN-based feedforward neural network. Its backpropagation learning algorithm is derivative-free and based on the error-correction rule. It does not suffer from the local minima phenomenon. MLMVN outperforms many other machine learning techniques in terms of learning speed, network complexity and generalization capability when solving both benchmark and real-world classification and prediction problems. Another interesting application of MVN is its use as a basic neuron in multi-state associative memories. The book is addressed to those readers who develop theoretical fundamentals of neural networks and use neural networks for solving various real-world problems. It should also be very suitable for Ph.D. and graduate students pursuing their degrees in computational intelligence.
Download or read book Neural Information Processing written by Chu Kiong Loo and published by Springer. This book was released on 2014-10-20 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 21st International Conference on Neural Information Processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The selected papers cover major topics of theoretical research, empirical study, and applications of neural information processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory and design, applications, kernel and statistical methods, evolutionary computation and hybrid intelligent systems, signal and image processing, and special sessions intelligent systems for supporting decision, making processes, theories and applications, cognitive robotics, and learning systems for social network and web mining.
