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Principles of Neural Coding

book on the subject. Simply titled Principles of Neural Coding, this book covers the complexities of this discipline. It centers on some of the;

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The Psychobiology of Sensory Coding

Originally published in 1973, this book deals with what were, even at that time, the well-known neural coding processes of the sensory;

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The Psychobiology of Sensory Coding

Originally published in 1973, this book deals with what were, even at that time, the well-known neural coding processes of the sensory;

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Neural Control of Space Coding and Action Production

entitled "Neural control of space coding and action production". The book emphasizes the reciprocal relationship between perception and action, and;

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Principles of Digital Communication and Coding

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Fundamentals of Convolutional Coding

discussion of the basic principles of this field * Two new chapters on low-density parity-check (LDPC) convolutional codes and iterative coding;

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Adaptive Wireless Transceivers

. Employs the above adaptive principles also in the context of CDMA and OFDM transceivers and discusses the pros and cons of space-time coding;

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Principles of Neural Development

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Principles of Neural Information Theory

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Deep Learning from Scratch Building with Python from First Principles

along the way. Author Seth Weidman shows you how neural networks work using a first principles approach. You'll learn how to apply multilayer;

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Digital Signal Processing in Telecommunications

This publication deals with the application of advanced digital signal processing techniques and neural networks to various;

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Neural Data Science

room by providing a beginner's introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB;

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Filter Banks and Audio Coding

principles and provide the tools for experiments. Comprehensively explains the fundamentals of filter banks and audio coding; Provides;

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Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

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Principles of Speech Coding

impairments to speech quality in VoIP networks Offering a detailed yet easily accessible introduction to the field, Principles of Speech Coding;

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Neural Nets And Chaotic Carriers (2nd Edition)

Neural Nets and Chaotic Carriers develops rational principles for the design of associative memories, with a view to applying these;

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Recurrent Neural Networks

This textbook provides a compact but comprehensive treatment that provides analytical and design steps to recurrent neural networks from;

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Don't Teach Coding

that strengthen coding skills. Clear, straightforward chapters discuss a broad range of questions using principles of computer science, such as;

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Error-Control Convolutional Coding

examines the principles of rate-compatible punctured convolutional codes as well as combined coding, modulation and equalization for intersymbol;

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Digital Signal Compression

professionals. Principles of lossless compression are covered, as are various entropy coding techniques, including Huffman coding, arithmetic coding and;

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Neural Network Modeling

Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network;

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Brain-Machine Interaction Engineering

Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an;

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Computational Neuroscience

Includes chapters on neural coding in single cells, in small networks, and across the entire cerebral cortex, visual processing from the;

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Principles of ICD-10-CM Coding

decision when selecting diagnosis codes using the new coding system. Written for all skill levels from basic to advanced, Principles of ICD-10-CM;

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Clinical Neuroengineering

Neuroengineering or neural engineering is a field within biomedical engineering. It uses engineering techniques to repair, enhance, replace;

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Principal Component Neural Networks

Systematically explores the relationship between principal component analysis (PCA) and neural networks. Provides a synergistic examination;

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Thoughtful Machine Learning

practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine;

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