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Neurons and Networks

and Networks filled the need for an introductory neuroscience text that is lucid, accessible, authoritative, logically organized, and concise;

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Network Models for Control and Processing

This book provides a powerful tool for collecting and correlating related bodies of research in modelling control and processing;

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Neural Networks

Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to;

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Neural Networks

Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to;

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Brain Theory and Neural Networks

A biological neural network passes information between receptors and effectors by using electrical impulses. Neural networks are a;

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Applied Neural Networks and Soft Computing

Applied Neural Networks and Soft Computing examines the relation between neural networks and soft computing. Neural network is a system;

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An Introduction to the Mathematics of Neurons

in electronic circuits, mathematical modeling and analysis, signal processing, and neurosciences, and then proceeds to applications. These applications;

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Neuronal Dynamics

This book introduces the field of neuroscience that theoretically and experimentally studies how neurons work. In particular, the;

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Neuromorphic Photonics

This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview;

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Circuit Complexity and Neural Networks

amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale - that is, how;

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Artificial Neural Networks in Food Processing

comprehensive overview of ANNs including an introduction to the topic, classifications of single neurons and neural networks, model predictive control;

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An Introduction to the Mathematics of Neurons

This book describes signal processing aspects of neural networks, how we receive and assess information. Beginning with a presentation;

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Neural Networks for Complete Beginners

learn the relationship between the neurons which make up the human brain and the artificial neurons. Artificial neural networks embrace the;

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The Mind Within the Net

How does the brain work? How do billions of neurons bring about ideas, sensations, emotions, and actions? Why do children learn faster than;

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Artificial Neural Networks and Machine Learning - ICANN 2016

2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227;

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Artificial Neural Networks and Machine Learning - ICANN 2016

2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227;

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Neuronal Networks of the Hippocampus

The questions of how a large population of neurons in the brain functions, how synchronized firing of neurons is achieved, and what factors;

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Neuronal Networks of the Hippocampus

The questions of how a large population of neurons in the brain functions, how synchronized firing of neurons is achieved, and what factors;

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Spiking Neuron Models

seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence;

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Artificial Neural Networks and Machine Learning - ICANN 2017

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks;

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Artificial Neural Networks and Machine Learning - ICANN 2017

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks;

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Neuro-inspired Information Processing

With the end of Moore's law and the emergence of new application needs such as those of the Internet of Things (IoT) or artificial;

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In Vitro Neuronal Networks

and applied research. These cultures of dissociated neurons offer a perfect trade-off between complex experimental models and theoretical;

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Artificial Neural Network Modeling of Water & Wastewater Treatments Processes

brain. ANNs have been attracting great interest during the last decade as predictive models and pattern recognition. Artificial neural networks;

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Reconfigurable Cellular Neural Networks and Their Applications

to the cellular neural network (CNN) and formulates it to match the behavior of the Wilson-Cowan model. In turn, two properties that are;

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Neural Network Design and the Complexity of Learning

rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the;

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Lessons from the Lobster

Lobster, Charlotte Nassim describes Marder's work and its significance accessibly and engagingly, tracing the evolution of a supremely gifted;

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