Handbook of Neuroengineering

1. A Neuroprosthetic for Individuals with Tetraplegia: The Path from a Clinical Research Tool to a Home-Use Assistive Device

   • Samuel Colachis IV, Patrick D. Ganzer, David A. Friedenberg, Gaurav Sharma

2. Advances in High-Resolution, Miniaturized Bioelectrical Neural Interface Design

   • Anh Tuan Nguyen, Jian Xu, Tong Wu, Diu Khue Luu, Zhi Yang

3. Analogue Front-End Design for Neural Recording

   • Michal Maslik, Lieuwe B. Leene, Timothy G. Constandinou

4. Artificial Sensory Feedback to the Brain: Somatosensory Feedback for Neural Devices and BCI

   • David A. Bjånes, Chet T. Moritz

5. Biomimetic Approaches Towards Device-Tissue Integration

   • Catalina Vallejo-Giraldo, Martina Genta, Josef Goding, Rylie Green

6. Biophysics and Mechanisms of Spinal Cord Stimulation for Chronic Pain

   • Nathan D. Titus, John E. Gilbert, Warren M. Grill

7. Brain Co-processors: Using AI to Restore and Augment Brain Function

   • Rajesh P. N. Rao

8. Brain-Computer Interface for Stroke Rehabilitation

   • Ravikiran Mane, Kai Keng Ang, Cuntai Guan

9. Brain-Machine Interfaces for Closed-Loop Electrical Brain Stimulation in Neuropsychiatric Disorders

   • Omid G. Sani, Yuxiao Yang, Maryam M. Shanechi

10. Brain-Machine Interfaces for Neurorobotics

    • Mario Ortiz, Kevin Nathan, José M. Azorín, José L. Contreras-Vidal

11. Brain-Machine Interfaces for Upper and Lower Limb Prostheses

    • Justin A Brantley, Andrew Y Paek, Alexander G Steele, Jose L Contreras-Vidal

12. Brain-Machine Interfaces: From Restoring Sensorimotor Control to Augmenting Cognition

    • Karen Moxon, Zhaodan Kong, Jochen Ditterich

13. Brain’s Networks and Their Functional Significance in Cognition

    • Andrei Dragomir, Ahmet Omurtag

14. Central and Peripheral Neural Interfaces for Control of Upper Limb Actuators for Motor Rehabilitation After Stroke: Technical and Clinical Considerations

    • Nerea Irastorza-Landa, Andrea Sarasola-Sanz, Carlos Bibián, Andreas M. Ray, Ainhoa Insausti-Delgado, Florian Helmhold et al.

15. Challenges for Large-Scale Brain-Machine Interfaces

    • Farah Laiwalla, Vincent Leung, Lawrence Larson, Arto Nurmikko

16. Closed-Loop Visceral Bioelectronics Therapies

    • Marlena N. Raczkowska, Nitish V. Thakor

17. Coatings for Microneural Implants: Biological and Mechanical Considerations

    • Kaitlynn P. Olczak, Kevin J. Otto

18. Coatings for Microneural Implants: Electrical Considerations

    • Kaitlynn P. Olczak, Kevin J. Otto

19. Cognitive State Analysis, Understanding, and Decoding from the Perspective of Brain Connectivity

    • Junhua Li, Anastasios Bezerianos, Nitish Thakor

20. Cognitive State Assessment and Monitoring: A Brain Connectivity Perspective

    • Rohit Bose, Nida Itrat Abbasi, Nitish Thakor, Anastasios Bezerianos, Andrei Dragomir

This Handbook serves as an authoritative reference book in the field of Neuroengineering.  Neuroengineering is a very exciting field that is rapidly getting established as core subject matter for research and education. The Neuroengineering field has also produced an impressive array of industry products and clinical applications. It also serves as a reference book for graduate students, research scholars and teachers. Selected sections or a compendium of chapters may be used as “reference book” for a one or two semester graduate course in Biomedical Engineering. Some academicians will construct a “textbook” out of selected sections or chapters. The Handbook is also meant as a state-of-the-art volume for researchers. Due to its comprehensive coverage, researchers in one field covered by a certain section of the Handbook would find other sections valuable sources of cross-reference for information and fertilization of interdisciplinary ideas. Industry researchers as well as clinicians using neurotechnologies will find the Handbook a single source for foundation and state-of-the-art applications in the field of Neuroengineering. Regulatory agencies, entrepreneurs, investors and legal experts can use the Handbook as a reference for their professional work as well.​

• Brain structure and function
• Visceral nervous system
• Neuromuscular junction
• Neural circuits
• Neurotechnology
• Neural regeneration
• Microelectrode array
• Neurochips
• Neural Interface
• Optical microsensors
• Optogenetic microprobes
• Electrode-tissue interface
• Neural recording and stimulation
• Neuroprosthesis
• Neurorehabilitation
• Robotic Assisted Therapy
• Human Augmentation
• Brain Computer Interface
• Bio-Robotics
• Connectome imaging

• Singapore Institute for Neurotechnology, National University of Singapore, Singapore, Singapore

  Nitish V. Thakor

Nitish V. Thakor is the Director the Singapore Institute for Neurotechnology (SINAPSE) at the National University of Singapore, as well as Professor of Electrical and Computer Engineering and Biomedical Engineering at NUS. He maintains his position as a Professor of Biomedical Engineering, Electrical and Computer Engineering and Neurology at Johns Hopkins University in the USA. Dr. Thakor’s technical expertise is in the field of Neuroengineering, including neural instrumentation, nuromorphic engineering, neural microsystems, optical imaging of the nervous system, neural control of prosthesis and brain machine interface and cognitive engineering. He has pioneered many technologies for brain monitoring to prosthetic arms and neuroprosthesis. He is an author of more than 290 refereed journal papers, more than a dozen patents, and co-founder of 3 companies. He is currently the Editor in Chief of Medical and Biological Engineering and Computing, and was the Editor in Chief of IEEE TNSRE from 2005-2011 and presently the EIC of Medical and Biological Engineering and Computing. Dr. Thakor is a recipient of a Research Career Development Award from the National Institutes of Health and a Presidential Young Investigator Award from the National Science Foundation, and is a Fellow of the American Institute of Medical and Biological Engineering, IEEE, Founding Fellow of the Biomedical Engineering Society, and Fellow of International Federation of Medical and Biological Engineering. He is a recipient of the award of Technical Excellence in Neuroengineering from IEEE Engineering in Medicine and Biology Society, Distinguished Alumnus Award from Indian Institute of Technology, Bombay, India, and a Centennial Medal from the University of Wisconsin School of Engineering. He has given more than 50 keynotes and plenary talks, and was the Chair of the IEEE Grand Challenges in Life Science Conference in 2013 and will chair IEEE BIOROB conference in Singapore in June 2016 and the Gordon Conference on Advanced Health Informatics in Hong Kong in July 2016​.