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Computational Techniques in Neuroscience
Loot Price: R3,599
Discovery Miles 35 990
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Computational Techniques in Neuroscience
Series: Computational Methods for Industrial Applications
Expected to ship within 12 - 17 working days
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The text discusses the techniques of deep learning and machine
learning in the field of neuroscience, engineering approaches to
study the brain structure and dynamics, convolutional networks for
fast, energy-efficient neuromorphic computing, and reinforcement
learning in feedback control. It showcases case studies in neural
data analysis. The book- •Focuses on neuron modeling,
development, and direction of neural circuits to explain
perception, behavior, and biologically inspired intelligent agents
for decision making. •Showcases important aspects such as human
behavior prediction using smart technologies and understanding the
modeling of nervous systems. •Discusses nature-inspired
algorithms such as swarm intelligence, ant colony optimization, and
multi-agent systems. •Presents information-theoretic,
control-theoretic, and decision-theoretic approaches in
neuroscience. •Includes case studies in functional magnetic
resonance imaging (fMRI) and neural data analysis. This reference
text addresses different applications of computational
neurosciences using artificial intelligence, deep learning, and
other machine learning techniques to fine-tune the models thereby
solving the real-life problems prominently. It will further discuss
important topics such as neural rehabilitation, brain-computer
interfacing, neural control, neural system analysis, and
neurobiologically inspired self-monitoring systems. It will serve
as an ideal reference text for graduate students and academic
researchers in the fields of electrical engineering, electronics
and communication engineering, computer engineering, information
technology, and biomedical engineering.
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