Many-body interactions have been successfully described through models based on classical or quantum physics. More recently, some of the models have been related to cognitive science by researchers who are interested in describing brain activity through the use of artificial neural networks (ANNs).
Biological and Quantum Computing for Human Vision: Holonomic Models and Applications presents an integrated model of human image processing up to conscious visual experience, based mainly on the Holonomic Brain Theory by Karl Pribram. This work researches possibilities for complementing neural models of early vision with the new preliminary quantum models of consciousness in order to construct a model of human image processing.
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Mitja Perus has developed the ideas presented in this book since the time of his PhD studies of physics and cognitive (neuro)science at the University of Ljubljana, Slovenia, and research work at the National Institute of Chemistry and Institute BION, both in Ljubljana, Royal Holloway and Bedford New College of the University of London, Eastern Illinois University at Charleston, and during post-doc (EU's Marie Curie project) at the Institute for Computer Vision and Graphics of the Graz University of Technology, Austria. He has also been a consultant to the director of the IT company Stroka Ltd., among others. He is affiliated with the Laboratory for Cognitive Modelling of the Faculty for Computer and Information Science in Ljubljana, among others, and lectures also at the Sigmund Freud University in Vienna.
This book emerged out of Perus's PhD dissertation "Conscious Image Processing - A Holonomic Model" under supervision of the world-renowned pioneer brain scientist Professor Karl H. Pribram, Stanford and Georgetown Universities, USA.
It is acknowledged in the literature that Perus pioneered (since 1992-5), together with researchers like Professors Subhash Kak, Walter Schempp and Dan Ventura, the field of quantum neural networks and organized the first conferences on the topics. This had a huge echo in the nineties, leading to many publications even before, and independently to, the quantum computing boom.
Collaboration with Assoc.-Prof. Dr. Loo Chu Kiong and his team brought further simulational and applicational development of this model.
Dr. Perus published three books and about 60 papers on topics related to this book; he lectured at about 40 scientific conferences, received two awards for these topics, which are also widely cited. He worked and lectured on the model during visits at several scientific institutions all over the world. He established the Slovene Society for Cognitive Sciences.
Perus's research experience includes neural networks, cognitive, information and vision sciences (object recognition, especially), biophysical foundations of brain and cognitive sciences, statistical physics of spin systems and other complex (bio)systems, foundations of quantum theory, quantum information theory.
Chu Kiong Loo obtained his PhD (University Sains Malaysia), B.Eng (First class Hons in Mechanical Engineering from University Malaya). Formerly he was a design Engineer in various industrial firms in different capacities as well as he is the former chairman of Centre for Robotics and Automation in Multimedia University. He has been involved in the application research of Perus's Quantum Associative Model and Pribram's Holonomic Brain Model in humanoid vision projects. Currently he is the Dean of Faculty of Information Science and Technology, Multimedia University, Malaysia. He has completed many funded projects by ministry of science in Malaysia and currently leading few hi-tech projects funded by Intel Corporation. Loo's research experience includes brain inspired quantum neural network, constructivism inspired neural network, synergetic neural networks and humanoid research.
Mitja Perus and Chu Kiong Loo have written a most interesting monograph regarding a model that they have worked out using currently available massively parallel neural net" architecture. They introduce the model by reviewing their understanding of the views of established neuroscience. They then go on to indicate where these views need to be modified on the basis of neurophysiological data that are currently largely ignored. These data are more supportive of the models used in developing neural nets and fit especially well Perus' and Loo's modifications." --Karl H. Pribam, MD, Georgetown University, USA, George Mason University, USA, and Stanford University, USA
Of interest to quantum physicists and high level researchers and students in the fields of quantum computing, artificial intelligence and human cognition, this volume examines the computational and neurological complexities of vision within the rubric of Karl Pibram's controversial holonomic brain theory. Topics discussed include holonomic-compatible models for vision, holonomic brain processes, computational models, images, associations and consciousness, quantum associative networks, visual processing in main-stream neuroscience, models of the visual cortex and quantum phase-hebbian image processing. --Sci Tech Book News, BookNews.com
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