Open access peer-reviewed Edited Volume

New Frontiers in Brain

Computer Interfaces

Edited by Nawaz Mohamudally

University of Technology

Co-editors:

Manish Putteeraj

University of Technology

Seyyed Abed Hosseini

Islamic Azad University, Mashhad Branch

Brain-Computer Interface (BCI) sounds comparable to plugging a USB cable into a human brain with a laptop and accessing brain information. However, it is not as simple as it sounds. BCI is a multidisciplinary discipline with an exponential progress parallel to and with Artificial Intelligence for the past decades. Initially started with the Electroencephalography (EEG) analysis, BCI offers practical applications for cortical physiology today. Although BCI outcomes are more perceptible in medicine such as cognitive assessment, neurofeedback, and neuroprosthetic implants, it opens up amazing avenues for the business community through machine learning and robotics. Thought-to-text is one example of a hot topic in BCI. So, it is quite predictable to see BCI for individual usage given the current affordability of platforms for less technologically savvy users as well as BCI integrated within office automation productivity tools. The current trend is towards vulgarization for businesses benefits, by extension to the society at large. Thus, the interest in preparing a book on BCI. This book aims to compile and disseminate the latest research findings and best practices on how BCI is expanding the frontiers of knowledge in clinical practices, on the brain itself, and the underlying technologies.

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New Frontiers in BrainComputer InterfacesEdited by Nawaz Mohamudally

Published: February 26th 2020

DOI: 10.5772/intechopen.80912

ISBN: 978-1-83880-508-1

Print ISBN: 978-1-83880-499-2

eBook (PDF) ISBN: 978-1-83880-509-8

Copyright year: 2020

Books open for chapter submissions

2990 Total Chapter Downloads

1 Web of Science Citations

3 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. Introductory Chapter: The “DNA Model” of Neurosciences and Computer Systems

By Manish Putteeraj and Shah Nawaz Ali Mohamudally

347

Open access peer-reviewed

2. Near-Infrared Optical Technologies in Brain-Computer Interface Systems

By Korshakov Alexei Vyacheslavovich

579

Open access peer-reviewed

3. Speech Enhancement Using an Iterative Posterior NMF

By Sunnydayal Vanambathina

384

Open access peer-reviewed

4. A Self-Paced Two-State Mental Task-Based Brain-Computer Interface with Few EEG Channels

By Farhad Faradji, Rabab K. Ward and Gary E. Birch

507

Open access peer-reviewed

5. Neural Signaling and Communication

By Syeda Huma Jabeen, Nadeem Ahmed, Muhammad Ejaz Sandhu, Nauman Riaz Chaudhry and Reeha Raza

354

Open access peer-reviewed

6. Integration of Spiking Neural Networks for Understanding Interval Timing

By Nicholas A. Lusk

454

Open access peer-reviewed

7. Introducing a Novel Approach to Study the Construction and Function of Memory in Human Beings: The Meshk Theory

By Mohammad Seyedielmabad

371

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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