Deep Dive into Computational Neuroscience: Applications of AI, Deep Learning, and Machine Learning

By Kamal Malik, this comprehensive reference text explore the cutting-edge techniques of deep learning and machine learning in the field of neuroscience. It delves into the engineering approaches to study the brain structure and dynamics, providing insights into convolutional networks for fast, energy-efficient neuromorphic computing, and reinforcement learning in feedback control.

Unraveling the Secrets of Neural Data Analysis

The book showcases case studies in neural data analysis, highlighting the importance of neuron modeling, development, and direction of neural circuits to explain perception, behavior, and biologically inspired intelligent agents for decision making. It also explores human behavior prediction using smart technologies and understanding the modeling of nervous systems.

Nature-Inspired Algorithms for Neuroscience

Discover the power of nature-inspired algorithms such as swarm intelligence, ant colony optimization, and multi-agent systems, which have revolutionized the field of neuroscience. The text also presents information-theoretic, control-theoretic, and decision-theoretic approaches in neuroscience, providing a comprehensive understanding of the subject.

Applications of Computational Neuroscience

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 real-life problems. It explores important topics such as neural rehabilitation, brain-computer interfacing, neural control, neural system analysis, and neurobiologically inspired self-monitoring systems.

Ideal for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, information technology, and biomedical engineering, this book serves as a valuable resource for those looking to advance their knowledge in computational neuroscience.

Key Features:

• Focus on neuron modeling, development, and direction of neural circuits
• In-depth analysis of neural data using functional magnetic resonance imaging (fMRI)
• Nature-inspired algorithms for neuroscience
• Applications of computational neuro-sciences using AI, deep learning, and machine learning
• Real-life case studies and examples

Publisher: CRC Press
Language: English
ISBN: 9781032461281, 9781000994148