Full Description
This book brings together pioneering research and perspectives at the crossroads of consciousness studies, cognitive science, traditional Indian knowledge systems, and modern neuroscience. The chapters encompass a diverse range of themes—from theoretical explorations of consciousness, time perception, and higher-order cognition to empirical studies on meditation, mental health, and machine learning-based neurodiagnostics. Grounded in classical Indian frameworks such as Sāṅkhya, Yoga, Ayurveda, and Jain philosophy, the book examines concepts like non-attachment, empathy, mind-body integration, and the void (paazh) as philosophical foundations for cognitive and emotional health. It further bridges ancient contemplative practices with contemporary technologies, presenting studies on EEG, VR-assisted meditation, neural coupling, and AI-enabled mental workload classification. Highlights include innovative assessments of Rajyoga and Vipassana, the development of psychometric scales, the role of diet and nasal breathing in cognitive health, and quantum-informed decision models. With contributions from philosophy, neuroscience, psychology, AI, and education, the book offers a unique synthesis of tradition and technology. It is a valuable resource for scholars, clinicians, and practitioners interested in the evolving dialogue between Indian contemplative traditions and cutting-edge cognitive science.
Contents
Defining Dark Matter: Grounded Theory Approach to 'Paazh' the Void Origin of Cosmos in Indian Philosophy.- Exploring the Samkhya Paradigm in Kalidasa's Abhijnanshakuntalam: A Philosophical Analysis.- Harnessing India's Ancient Wisdom: Exploring the Synergy between the Indian Knowledge System and Atmanirbhar Bharat.- Consciousness and Quantum Physics: Confluence of the East and the West.- Psycho-Physical Basis of Food Habits: The Need for Revival of Ancient Indian Health Systems.- A Yogic Neuroscience Framework of Aesthetic Experiences.- Assessing Mental Workload in a Dual N-Back Task Using Eye-Tracker and Machine Learning Techniques.- Measuring the Human Nasal Dominance in the Context of Svara Yoga: A Low-Cost Tool Based on Nasal Airflow Detection.- LJaya Optimization Based Feature Selection Approach for ADHD Classification.- Development and Content Validation of a Yoga-Based Spiritual Well-Being Scale.- Development and Validation of Vipassana Proficiency Scale.- Cerebral Rhythm Analysis and CNN Classification of Meditators and Novices Using Morlet Wavelet.- PEDNet: Preprocessed Ensembled Deep Network for Diagnosis of Epilepsy Seizures Using EEG Image Representations.
