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Computational Techniques in Neuroscience by Kamal Malik, Harsh Sadawarti, Moolchand Sharma, Umesh Gupta, Prayag Tiwari is a nonfiction available to read on EtoBox.

What is Computational Techniques in Neuroscience about?

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. Features: 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 neuro-sciences using artificial intelligence, deep learning, and other machine learning techniques to fine-tune the models, thereby solving the real-life probl

Who reads Computational Techniques in Neuroscience?

Author

Kamal Malik, Harsh Sadawarti, Moolchand Sharma, Umesh Gupta, Prayag Tiwari

Publisher

CRC Press LLC

Published

2024

Language

EN

ISBN

9781032461281

Category

nonfiction

Subjects

Engineering, Medical, Neuroscience