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Author: Alpha Smart Brain
Publisher:
ISBN: 9780996303576
Category :
Languages : en
Pages :
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Book Description
A new technique for teaching mathematics and boosting a child's math skills.
Author: Alpha Smart Brain
Publisher:
ISBN: 9780996303576
Category :
Languages : en
Pages :
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Book Description
A new technique for teaching mathematics and boosting a child's math skills.
Author: Grace Lindsay
Publisher: Bloomsbury Publishing
ISBN: 1472966457
Category : Science
Languages : en
Pages : 401
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Book Description
The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers searched for a language that could be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when the abstract world of mathematical modelling collides with the messy details of biology. Each chapter of Models of the Mind focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviours that brains command. In addition, Grace examines the history of the field, starting with experiments done on frog legs in the late eighteenth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. Throughout, she reveals the value of using the elegant language of mathematics to describe the machinery of neuroscience.
Author: Margery J. Doyle
Publisher:
ISBN: 9780996303507
Category :
Languages : en
Pages : 194
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Book Description
A new technique for teaching mathematics and increasing a child's IQ
Author: Michael A. Arbib
Publisher: New York : McGraw-Hill
ISBN:
Category : Brain
Languages : en
Pages : 172
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Book Description
Author: Brian Butterworth
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 440
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Book Description
Though he admits to not being particularly good at math, Butterworth (cognitive neuropsychology, U. College, London), the founder of the Mathematical Cognition journal, contends that we all possess an inherent "numerosity" sense--developed to different degrees of course. The author bases his case on empirical research and historical speculation. Annotation copyrighted by Book News, Inc., Portland, OR
Author: Nikola K. Kasabov
Publisher: Springer
ISBN: 3662577151
Category : Technology & Engineering
Languages : en
Pages : 742
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Book Description
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Author: Sabina Spiga
Publisher: Woodhead Publishing
ISBN: 0081027877
Category : Technology & Engineering
Languages : en
Pages : 569
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Book Description
Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications—Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists. Provides readers an overview of four key concepts in this emerging research topic including materials and device aspects, algorithmic aspects, circuits and architectures and target applications Covers a broad range of applications, including brain-inspired computing, computational memory, deep learning and spiking neural networks Includes perspectives from a wide range of disciplines, including materials science, electrical engineering and computing, providing a unique interdisciplinary look at the field
Author: Rong Chen
Publisher: Frontiers Media SA
ISBN: 2889666832
Category : Science
Languages : en
Pages : 290
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Book Description
Author: Akitoshi Hanazawa
Publisher: Springer Science & Business Media
ISBN: 3642040241
Category : Mathematics
Languages : en
Pages : 176
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Book Description
"Brain-inspired information technology" is one of key concepts for the development of information technology in the next generation. Explosive progress of computer technology has been continuing based on a simple principle called "if-then rule". This means that the programmer of software have to direct every action of the computer programs in response to various inputs. There inherently is a limitation of complexity because we human have a limited capacity for managing complex systems. Actually, many bugs, mistakes of programming, exist in computer software, and it is quite difficult to extinguish them. The parts of computer programs where computer viruses attack are also a kind of programming mistakes, called security hole. Of course, human body or nervous system is not perfect. No creator or director, however, exists for us. The function of our brain is equipped by learning, self-organization, natural selection, and etc, resulting in adaptive and flexible information system. Brain-inspired information technology is aiming to realize such nature-made information processing system by using present computer system or specific hardware. To do so, researchers in various research fields are getting together to inspire each other and challenge cooperatively for the same goal.
Author: DK
Publisher: Dorling Kindersley Ltd
ISBN: 0241571251
Category : Juvenile Nonfiction
Languages : en
Pages : 128
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Book Description
Get better at maths and numbers by realizing which math skills you already use in daily life, and learn new ones while having fun. Did you realize how much maths you are already using when playing computer games, planning a journey, or baking a cake? This ebook shows how to expand the knowledge you've already got, how your brain works things out, and how you can get even better at all sorts of maths. Explore amazing algebra, puzzling primes, super sequences, and special shapes. Challenge yourself with quizzes to answer, puzzles to solve, codes to crack, and geometrical illusions to inspire you, and meet the big names and even bigger brains who made mathematical history, such as Pythagoras, Grace Hopper, and Alan Turing. Whether you're a maths mastermind, numbers nerd, or completely clueless with calculations, train your brain to come out on top. This essential ebook explains the basic ideas behind maths, to give young readers greater confidence in their own ability to handle numbers and mathematical problems, and puts the ideas in context to help children understand why maths really is useful and even exciting! Fun, cartoon-style illustrations help introduce the concepts and demystify the maths.
