Learn IT - Books tags neuro

Advances in Evolutionary Computing for System Design (Studies in Computational Intelligence)

Springer, 2007

Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book includes thirteen chapters covering a wide area of topics in evolutionary computing and applications including: Introduction to evolutionary computing in system design; evolutionary neuro-fuzzy systems; evolution of fuzzy controllers;...

Neurological Disorders due to Systemic Disease

John Wiley & Sons, 2013

Edited by
Steven L Lewis, MD, Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA

How do you identify which neurologic syndromes occur due to systemic disease?

Neurological problems commonly occur in the context of underlying systemic disease, and may...

Computational Intelligence: Methods and Techniques

Springer, 2008

This book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. Those techniques are today commonly applied issues of artificial intelligence, e.g. to process speech and natural language, build expert systems and robots. The first part of the book presents methods of knowledge...

Acquired Brain Injury: An Integrative Neuro-Rehabilitation Approach

Springer, 2007

Crimmins (2000) marveled at the greatness of the “three pound-blob” that is our brain and control system. As seasoned clinicians in the field of neuro-rehabilitation, we still marvel each day at the resilience of the brain and at the exciting recoveries that we attempt to facilitate in survivors of acquired brain...

Computational Intelligence Paradigms: Theory & Applications using MATLAB

CRC Press, 2010

Offering a wide range of programming examples implemented in MATLAB^®, Computational Intelligence Paradigms: Theory and Applications Using MATLAB^® presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy...

Handbook of Neurochemistry and Molecular Neurobiology: Neuroimmunology

Springer, 2007

Neuroimmunology is one of the most rapidly developing branches of Neurobiology, prompted by novel neurochemical, neuroendocrinological, and neurophysiological investigations of the central and peripheral nervous system including neuroendocrine systems. Neuroimmunology can be considered as an interdisciplinary science that covers relevant...

Applications of Soft Computing: From Theory to Praxis (Advances in Intelligent and Soft Computing)

Springer, 2009

The World Soft Computing (WSC) conference is an annual international online conference on applied and theoretical soft computing technology. This WSC 2008 is the thirteenth conference in this series and it has been a great success.

We received a lot of excellent paper submissions which were peer-reviewed by an international...

Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Packt Publishing, 2018

Build next-generation artificial intelligence systems with Java

Key Features

Implement AI techniques to build smart applications using Deeplearning4j

Perform big data analytics to derive quality insights using Spark MLlib

Create self-learning systems using...

Detecting Lies and Deceit: Pitfalls and Opportunities (Wiley Series in Psychology of Crime, Policing and Law)

John Wiley & Sons, 2008

Why do people lie?

Do gender and personality differences affect how people lie?

How can lies be detected?

Detecting Lies and Deceit provides the most comprehensive review of deception to date. This revised edition provides an up-to-date...

Artificial Psychology: Psychological Modeling and Testing of AI Systems

Springer, 2019

This book explores the subject of artificial psychology and how the field must adapt human neuro-psychological testing techniques to provide adequate cognitive testing of advanced artificial intelligence systems. It shows how classical testing methods will reveal nothing about the cognitive nature of the systems and whether they are...

Mastering Turbulence: The Essential Capabilities of Agile and Resilient Individuals, Teams and Organizations

Jossey-Bass, 2012

The essential capabilities organizations need to master turbulent change

Rapid and disruptive change threatens the adaptive capacity of organizations, along with the individuals and teams leading them. Based upon over a decade of global research and consulting, Joseph E. McCann and John W. Selsky outline five capabilities...

Handbook of Mathematical Models in Computer Vision

Springer, 2005

David Marr's theory was a pioneering step towards understanding visual perception.
In his view human vision was based on a complete surface reconstruction
of the environment that was then used to address visual subtasks. This approach
was proven to be insufficient by neuro-biologists and complementary ideas from
statistical...

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