{"product_id":"brain-informatics-technology-hardback-9781394345595","title":"Brain Informatics Technology (Hardback) 9781394345595","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eBrain Informatics Technology\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eAnamika Ahirwar (Edited by), Ahirwar (Author), Ruby Bhatt (Edited by), D. Dhanya (Edited by), Roshani Choudhary (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394345595, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 13 November 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e544 pages\u003cbr\u003e28 x 19 x 2.5 cm, 0.948 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eUnlock the future of technology and medicine with this essential book that provides a comprehensive, perceptive study of Brain Informatics, detailing how computational approaches are revolutionizing our understanding of the brain and driving innovations in AI, robotics, and personalized healthcare.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eBrain informatics sits at the intersection of information technology and neuroscience, using innovations from both fields to deepen our understanding of the human brain. Through tools like EEG and fMRI, researchers have gained new insights into cognition, behavior, and neurological disorders, paving the way for treatments, personalized medicine, and diagnostic advances. The integration of brain-computer interfaces and machine learning further expands possibilities in areas such as AI, robotics, healthcare, and human–machine interaction. \u003c\/p\u003e\n\u003cp\u003eThis book offers a perceptive study of the relationship between neuroscience and IT, exploring the significant implications of computational approaches in solving the secrets of the human brain. Navigating through topics such as brain anatomy, cognitive processes, and computer models of brain activity, it provides a thorough overview of the fundamental concepts that underpin brain informatics research. It also looks at real-world applications in a variety of fields, including customized medicine, healthcare diagnostics, instructional technology, and artificial intelligence systems inspired by the human brain. This essential guide offers a comprehensive view of the revolutionary potential of brain informatics influencing the future of information technology. \u003c\/p\u003e\n\u003cp\u003eReaders will find this volume: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExplores the intersection of neuroscience and informatics with practical applications;\u003c\/li\u003e \u003cli\u003eProvides insights into cutting-edge research and technologies shaping brain-computer interaction;\u003c\/li\u003e \u003cli\u003eFeatures contributions from leading experts in brain informatics and cognitive technologies.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eResearchers and professionals in the fields of neuroscience, cognitive science, artificial intelligence, and data analytics.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xxiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I: Foundations of Brain Informatics 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Foundations of Brain Informatics: An Overview 3\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHirald Dwaraka Praveena, C. Subhas, A. Jaya Lakshmi, M. Venkatanaresh and P. Geetha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction to Brain Informatics 4\u003cbr\u003e1.2 Theoretical Foundations of Brain Informatics 7\u003cbr\u003e1.3 Investigations of Human Information Processing Systems 9\u003cbr\u003e1.4 Technologies and Tools in Brain Informatics 12\u003cbr\u003e1.5 Integration of Technologies in Brain Informatics 15\u003cbr\u003e1.6 Conclusion 20\u003cbr\u003e1.7 Future Scope 21\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Foundation of Cognitive and Computational Brain Science 25\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHema Umapathi, Ananya Pattjoshi, Khushi Sanjeev Udasi, Tushar Tejonidhi M., Yuvaraj Sivamani, Saranraj Pazhani and Sumitha Elayaperumal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 26\u003cbr\u003e2.2 Beginning of Computational Neuroscience 29\u003cbr\u003e2.3 Key Concepts for Cognitive Brain Science 31\u003cbr\u003e2.4 Key Concepts in Computational Brain Science 34\u003cbr\u003e2.5 Application 38\u003cbr\u003e2.6 Future and Challenges in Computational Neurobiology 43\u003cbr\u003e2.7 Challenges and Constraints Today 44\u003cbr\u003e2.8 Future Directions and Opportunities 45\u003cbr\u003e2.9 Conclusion 49\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Future Directions and Challenges in Brain Informatics 57\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKriti Sankhla\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction to Brain Informatics 58\u003cbr\u003e3.2 Global Landscape and Future Directions 61\u003cbr\u003e3.3 Multi-Modal Brain Data Integration 63\u003cbr\u003e3.4 Data Fusion Techniques and Machine Learning 66\u003cbr\u003e3.5 Computational Neuroscience and Brain Modeling 70\u003cbr\u003e3.6 Brain–Computer Interfaces (BCIs) 73\u003cbr\u003e3.7 Data Privacy and Security in Brain Informatics 76\u003cbr\u003e3.8 Interdisciplinary Collaboration in Brain Informatics 78\u003cbr\u003e3.9 Ethical and Societal Implications 80\u003cbr\u003e3.10 Conclusion 83\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: Data Acquisition and Ethical Considerations 89\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Data Acquisition Technologies in Brain Informatics: Tools and Techniques 91\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eNilesh Kharche and Anamika Ahirwar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 91\u003cbr\u003e4.2 Brain Informatics 92\u003cbr\u003e4.3 Electroencephalography (EEG) 93\u003cbr\u003e4.4 Magnetoencephalography (MEG) 95\u003cbr\u003e4.5 Functional Magnetic Resonance Imaging (fMRI) 96\u003cbr\u003e4.6 Positron Emission Tomography (PET) 98\u003cbr\u003e4.7 Near-Infrared Spectroscopy (NIRS) 99\u003cbr\u003e4.8 Invasive Techniques in Brain Data Acquisition 100\u003cbr\u003e4.9 Multimodal Data Acquisition Approaches 102\u003cbr\u003e4.10 Emerging Technologies and Trends in Brain Data Acquisition 104\u003cbr\u003e4.11 Data Quality, Storage, and Management in Brain Informatics 106\u003cbr\u003e4.12 Ethical Issues Involved with the Acquisition of Brain Data 108\u003cbr\u003e4.13 Case Studies and Applications in Brain Data Acquisition 110\u003cbr\u003e4.14 Conclusion 112\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Ethical Consideration in Brain Informatics Color Blindness Research and Applications 115\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSakshi Khullar and Yogita Thareja\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 116\u003cbr\u003e5.2 Literature Review 118\u003cbr\u003e5.3 Research Methodology 121\u003cbr\u003e5.4 Implications\/Conclusion of the Study 124\u003cbr\u003e5.5 Discussion 127\u003cbr\u003e5.6 Conclusion 130\u003cbr\u003e5.7 Challenges and Future Scope 130\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: Neural Networks and Machine Learning 135\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Neural Networks: The Core Foundations, Challenges, and Applications in Brain Informatics 137\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMadiha Munawar, Monika Singh T., Kishor Kumar Reddy C. and Marlia Mohd Hanafiah\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 138\u003cbr\u003e6.2 Fundamentals of Neural Networks in Brain Informatics 143\u003cbr\u003e6.3 Architectures and Models of Neural Networks 148\u003cbr\u003e6.4 Applications of Neural Networks in Brain Informatics 154\u003cbr\u003e6.5 Ethical Considerations and Challenges in Brain Informatics 160\u003cbr\u003e6.6 Optimization Techniques in Neural Networks for Brain Informatics 163\u003cbr\u003e6.7 Comparative Analysis of Neural Network Techniques 166\u003cbr\u003e6.8 Future Directions and Emerging Trends in Neural Networks for Brain Informatics 169\u003cbr\u003e6.9 Conclusion 172\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Neural Networks: Building Blocks of Brain Informatics 177\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKiran Raj V. and Anoop Jacob Thomas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction to Neural Networks and Brain Informatics 177\u003cbr\u003e7.2 Structure and Function of Human Brain 183\u003cbr\u003e7.3 Basic Components of Artificial Neural Networks 185\u003cbr\u003e7.4 Types of Neural Networks 187\u003cbr\u003e7.5 Application of Neural Networks in Brain Imaging and Neurosciences 190\u003cbr\u003e7.6 Challenges and Future Directions 192\u003cbr\u003e7.7 Conclusion 194\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Machine Learning Techniques for Brain and Health Data 201\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eShubhra Dixit, Surbhi Gupta and Ajay Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 202\u003cbr\u003e8.2 Supervised Learning 202\u003cbr\u003e8.3 Unsupervised Learning Techniques in Brain and Health Data 208\u003cbr\u003e8.4 Semi-Supervised Learning Techniques in Brain and Health Data 211\u003cbr\u003e8.5 Reinforcement Learning Techniques in Brain and Health Data 213\u003cbr\u003e8.6 Deep Learning in Brain and Health Data 219\u003cbr\u003e8.7 Natural Language Processing in Brain and Health Data 223\u003cbr\u003e8.8 Applications of Machine Learning in Brain and Health Data 224\u003cbr\u003e8.9 Future Directions and Challenges in Machine Learning Techniques for Brain and Health Data 226\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Machine Learning Revolutionizing Brain Health: Innovations and Future Directions 231\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSantosh Soni, Pramod Singh and Akhilesh A. Waoo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Overview of Machine Learning (ML) in Healthcare 232\u003cbr\u003e9.2 Machine Learning Foundations 232\u003cbr\u003e9.3 Machine Learning Applications in Brain Health 234\u003cbr\u003e9.4 Case Studies 240\u003cbr\u003e9.5 Tools and Technologies 244\u003cbr\u003e9.6 Current Innovations and Future Directions 247\u003cbr\u003e9.7 Conclusion 250\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Machine Learning in Brain and Health Data: Current Advances and Future Pathways 253\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSelvani Deepthi Kavila, Rajesh Bandaru, Moni Sushma Deep Kavila and K. Veera Raghavendra Rao\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 254\u003cbr\u003e10.2 Literature Survey 255\u003cbr\u003e10.3 Proposed System 258\u003cbr\u003e10.4 Performance Analysis and Results 271\u003cbr\u003e10.5 Conclusion 276\u003cbr\u003e10.6 Future Scope 277\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV: Imaging and Cognitive Applications 281\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Novel Study of MRI Brain Tumor Detection and Segmentation by Digital Image Processing Techniques 283\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eV. Thamilarasi, N. Kanya, R. Roselin, Dahlia Sam and S. Babu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Background 284\u003cbr\u003e11.2 Brain Anatomy 284\u003cbr\u003e11.3 Literature Review 285\u003cbr\u003e11.4 Segmentation 285\u003cbr\u003e11.5 Evaluation Metrics 297\u003cbr\u003e11.6 Result and Discussion 298\u003cbr\u003e11.7 Conclusion 301\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Cognitive Brain Imaging Techniques and Their Applications in Intelligent Decision-Making 305\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRaginee Tiwari, Ashwini A. Waoo and Akhilesh A. Waoo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Cognitive Brain Introduction and Functional Classification 306\u003cbr\u003e12.2 Introduction of Brain Imaging Techniques 309\u003cbr\u003e12.3 Functional Brain Imaging Study 313\u003cbr\u003e12.4 Recent Study of Human Decision-Making 315\u003cbr\u003e12.5 Neuro-Scientific Insights in Decision-Making 319\u003cbr\u003e12.6 Aspects and Related Facts for Intelligent Decisions 320\u003cbr\u003e12.7 Psychological Disorders and Decision Making 321\u003cbr\u003e12.8 Summary 322\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Brain Cognitive Development Informatics System to Deal with Various Types of Autism Spectrum Disorder 325\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eH. Parveen Begum\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 326\u003cbr\u003e13.2 Literature Review 326\u003cbr\u003e13.3 Methodology – Cognitive Informatics 340\u003cbr\u003e13.4 BCDIS Architecture 343\u003cbr\u003e13.5 Result \u0026amp; Discussion of BCDIS 345\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Cognitive Intelligence with Brain Imaging: Methodological Challenges 351\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKiran Raj V. and Anoop Jacob Thomas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction to Cognitive Intelligence 351\u003cbr\u003e14.2 Brain Imaging Techniques in Understanding Cognitive Intelligence 355\u003cbr\u003e14.3 Conclusion 365\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart V: Data Analytics and Neuroscience Applications 373\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Unraveling the Neural Tapestry: Insights Into Brain Big Data Analytics, Curation, and Management 375\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eTuhin James Paul, Rojin G. Raj, Amandeep Singh, Md. Misbah and Khadga Raj Aran\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 376\u003cbr\u003e15.2 Brain Big Data Analytics 383\u003cbr\u003e15.3 Knowledge Graphs in Brain Informatics 387\u003cbr\u003e15.4 Data Curation and Management 390\u003cbr\u003e15.5 Ethical Considerations and Challenges 392\u003cbr\u003e15.6 Future Directions and Emerging Trends 394\u003cbr\u003e15.7 Conclusion 398\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Mental Health Detection and Prediction through Machine Learning Technology: Issues and Future Opportunities 403\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKedar Nath Singh, Harsh Pratap Singh, Mahesh Panjwani and Snehil Dahima\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 404\u003cbr\u003e16.2 Literature Review 408\u003cbr\u003e16.3 Difficulties and Factors 416\u003cbr\u003e16.4 Machine Learning Applications in Future Directions 418\u003cbr\u003e16.5 Conclusions 420\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Computationally Intelligent Techniques for Neuroscience Applications 425\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eVidhya R., Dhanya D., Renu D. S. and Jani Anbarasi L.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 426\u003cbr\u003e17.2 Related Work 427\u003cbr\u003e17.3 Methodology 435\u003cbr\u003e17.4 Results and Discussion 438\u003cbr\u003e17.5 Conclusion and Future Work 443\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart VI: Case Studies and Future Challenges 449\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 An Evaluation of Application‑Based Parent Guidance for Kids with Psychological Disorders 451\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSivaprakash. C., P. Ramkumar, R. Uma, P. Hosanna Princye and Sa. Viswavardinii\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 452\u003cbr\u003e18.2 Classification System 453\u003cbr\u003e18.3 Definition and Classification 454\u003cbr\u003e18.4 Causes 459\u003cbr\u003e18.5 Diagnosis and Assessment 460\u003cbr\u003e18.6 Impact and Consequences 461\u003cbr\u003e18.7 Treatment and Intervention 462\u003cbr\u003e18.8 Prevention and Early Intervention 463\u003cbr\u003e18.9 Methodology 463\u003cbr\u003e18.10 Future Directions and Implications 466\u003cbr\u003e18.11 Conclusion 468\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Challenges and Future Direction of Brain Imaging Studies with Focus on Understanding 471\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eShital R. Shegokar and Anamika Ahirwar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction 472\u003cbr\u003e19.2 Non-Invasive Efficient Neuroimaging Methods 473\u003cbr\u003e19.3 fMRI 473\u003cbr\u003e19.4 Current Developments in Neuroimaging Methods and How They Affect Neuroscience Research 475\u003cbr\u003e19.5 New Advancements in fMRI Technology: Improved Spatial and Temporal Resolution 476\u003cbr\u003e19.6 EEG Technology 477\u003cbr\u003e19.7 EEG and fMRI Limitations and Challenges 480\u003cbr\u003e19.8 Innovative Techniques in Neuroimaging 481\u003cbr\u003e19.9 Transcranial Electrical Stimulation (TES) 483\u003cbr\u003e19.10 Using TES and DTI to Treat and Recognize Brain Connectivity Conditions 484\u003cbr\u003e19.11 Limitations, Challenges, and Future Directions in DTI and TES 485\u003cbr\u003e19.12 An Overview of Latest Advances in Neuroimaging and How Those Affect Clinical Practice and Neuroscience Research 486\u003cbr\u003e19.13 Future Prospects for Neuroimaging 486\u003cbr\u003e19.14 Conclusion 487\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Detection of Brain Tumor Using Machine Learning Model 493\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eR. Uma, P. Ramkumar, Sivaprakash. C., J. Anitha Ruth and Sa.Viswavardinii\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction 494\u003cbr\u003e20.2 Literature Review 497\u003cbr\u003e20.3 Methodology 499\u003cbr\u003e20.4 Conclusion 506\u003c\/p\u003e \u003cp\u003eReferences 506\u003cbr\u003eIndex 509\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Biology, life sciences [\u003ca title=\"See our other books on Biology, life sciences\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Biology,%20life%20sciences%20%5BPS%5D%22\"\u003ePS\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433819140376,"sku":"9781394345595","price":156.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394345595.jpg?v=1784853952","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/brain-informatics-technology-hardback-9781394345595","provider":"Freshly Printed Books","version":"1.0","type":"link"}