Handbook of Neuroengineering

1. Front Matter

   Pages i-liii

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2. Neural Interface: Materials and Biological Responses

   1. Front Matter

      Pages 1-1

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   2. Subcellular Compartmentalization for Neurobiology: Focusing on the Axon

      • Agata Blasiak, Devrim Kilinc, Jean-Michel Peyrin

      Pages 3-37

   3. Microfluidic Culture Platforms in Neuroscience Research

      • Vuong M. Pham, Huong T. T. Ha, Nitish V. Thakor

      Pages 39-77

   4. Flexible and Soft Materials and Devices for Neural Interface

      • Elisa Castagnola, X. Sally Zheng, X. Tracy Cui

      Pages 79-139

   5. Coatings for Microneural Implants: Biological and Mechanical Considerations

      • Kaitlynn P. Olczak, Kevin J. Otto

      Pages 141-178

   6. Coatings for Microneural Implants: Electrical Considerations

      • Kaitlynn P. Olczak, Kevin J. Otto

      Pages 179-212

   7. Quantitative Assessment of the Mechanical Properties of the Neural Interface

      • Arati Sridharan, Jit Muthuswamy

      Pages 213-259

   8. Biomimetic Approaches Towards Device-Tissue Integration

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

      Pages 261-286

3. Neural Interface: Devices, Fabrication, and Packaging

   1. Front Matter

      Pages 287-287

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   2. Implantable Device Fabrication and Packaging

      • Thomas Stieglitz

      Pages 289-337

   3. State-of-the-Art Technology on MEAs for Interfacing Live Neurons

      • Yoonkey Nam

      Pages 339-379

   4. Distributed Neural Interfaces: Challenges and Trends in Scaling Implantable Technology

      • Katarzyna M. Szostak, Peilong Feng, Federico Mazza, Timothy G. Constandinou

      Pages 381-417

   5. Challenges for Large-Scale Brain-Machine Interfaces

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

      Pages 419-440

   6. Organic Bioelectronics

      • Anastasios G. Polyravas, Christopher M. Proctor, Vincenzo F. Curto, Alejandro Carnicer-Lombarte, George G. Malliaras, Damiano G. Barone

      Pages 441-466

   7. High-Density Fiberless Optoelectrodes with Integrated Waveguides and μLEDs

      • Kanghwan Kim, Fan Wu, Komal Kampasi, John P. Seymour, Kensall D. Wise, Euisik Yoon

      Pages 467-503

4. Neural Sensors and Transducers

   1. Front Matter

      Pages 505-505

      PDF

   2. Nanostructured Platforms Interfacing with Nervous System

      • Nuan Chen, Seeram Ramakrishna, Nitish V. Thakor

      Pages 507-530

   3. Neuroflex: Intraneural and Extraneural Flexible Sensor Architectures for Neural Probing

      • Anoop C. Patil, Nitish V. Thakor

      Pages 531-559

   4. Regenerative Electrodes for Peripheral Nerve Interfacing

      • Erik R. Zellmer, Daniel W. Moran

      Pages 561-590

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

• Neuroengineering and Biomedical Instrumentation Laboratory Department of Biomedical Engineering and Department of Electrical and Computer Engineering, Neurology, Johns Hopkins University, Baltimore, USA

  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​.

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