The idea of interfacing minds with machines has long captured the human imagination. Recent advances in neuroscience and engineering are making this a reality, opening the door to restoration and augmentation of human physical and mental capabilities. Medical applications such as cochlear implants for the deaf and neurally controlled prosthetic limbs for the paralyzed are becoming almost commonplace. Brain-computer interfaces (BCIs) are also increasingly being used in security, lie detection, alertness monitoring, telepresence, gaming, education, art, and human augmentation. This introduction to the field is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used for self-study and as a reference by neuroscientists, computer scientists, engineers, and medical practitioners. Key features include questions and exercises in each chapter and a supporting website. "The idea of interfacing minds with machines has long captured the human imagination. Recent advances in neuroscience and engineering are making this a reality, opening the door to restoring and potentially augmenting human physical and mental capabilities. Medical applications such as cochlear implants for the deaf and deep brain stimulation for Parkinson's disease are becoming increasingly commonplace. Brain-computer interfaces (BCIs) (also known as brain-machine interfaces or BMIs) are now being explored in applications as diverse as security, lie detection, alertness monitoring, telepresence, gaming, education, art, and human augmentation. This introduction to the field is designed as a textbook for upper-level undergraduate and first year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used for self-study and as a reference by neuroscientists, computer scientists, engineers, and medical practitioners. Key features include: essential background in neuroscience, brain recording and stimulation technologies, signal processing, and machine learning; detailed description of the major types of BCIs in animals and humans, including invasive, semi-invasive, noninvasive, stimulating, and bidirectional BCIs; in-depth discussion of BCI applications and BCI ethics; questions and exercises in each chapter; supporting Web site with annotated list of book-related links."--Provided by publisher The Idea Of Interfacing Minds With Machines Has Long Captured The Human Imagination. Recent Advances In Neuroscience And Engineering Are Making This A Reality, Opening The Door To Restoring And Potentially Augmenting Human Physical And Mental Capabilities. Medical Applications Such As Cochlear Implants For The Deaf And Deep Brain Stimulation For Parkinson's Disease Are Becoming Increasingly Commonplace. Brain- Computer Interfaces (bcis) (also Known As Brain- Machine Interfaces Or Bmis) Are Now Being Explored In Applications As Diverse As Security, Lie Detection, Alertness Monitoring, Telepresence, Gaming, Education, Art, And Human Augmentation. This Introduction To The Field Is Designed As A Textbook For Upper- Level Undergraduate And First Year Graduate Courses In Neural Engineering Or Brain- Computer Interfacing For Students From A Wide Range Of Disciplines. It Can Also Be Used For Self- Study And As A Reference By Neuroscientists, Computer Scientists, Engineers, And Medical Practitioners. Key Features Include: Essential Background In Neuroscience, Brain Recording And Stimulation Technologies, Signal Processing, And Machine Learning. Detailed Description Of The Major Types Of Bcis In Animals And Humans, Including Invasive, Semi-invasive, Noninvasive, Stimulating, And Bidirectional Bcis In-depth Discussion Of Bci Applications And Bci Ethics Questions And Exercises In Each Chapter Supporting Web Site With Annotated List Of Book- Related Links 00. 9781108708012 01.0_pp_i_iv_Frontmatter 02.0_pp_v_vi_Dedication Blank Page 03.0_pp_vii_xii_Contents 04.0_pp_xiii_xvi_Preface 05.0_pp_1_4_Introduction 06.0_pp_5_6_Background 06.1_pp_7_17_Basic_Neuroscience 06.2_pp_18_38_Recording_and_Stimulating_the_Brain 06.3_pp_39_70_Signal_Processing 06.4_pp_71_98_Machine_Learning 07.0_pp_99_100_Putting_It_All_Together 07.1_pp_101_106_Building_a_BCI 08.0_pp_107_108_Major_Types_of_BCIs 08.1_pp_109_148_Invasive_BCIs 08.2_pp_149_176_Semi-Invasive_BCIs 08.3_pp_177_209_Noninvasive_BCIs 08.4_pp_210_220_BCIs_that_Stimulate 08.5_pp_221_236_Bidirectional_and_Recurrent_BCIs 09.0_pp_237_238_Applications_and_Ethics 09.1_pp_239_271_Applications_of_BCIs 09.2_pp_272_278_Ethics_of_Brain-Computer_Interfacing 09.3_pp_279_280_Conclusion 10.0_pp_281_294_Mathematical_Background 11.0_pp_295_306_References 12.0_pp_307_319_Index 13.0_Plate_Section This introduction to the field of brain-computer interfacing is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used as a reference by neuroscientists, computer scientists, engineers, and medical practitioners.