ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
2
views
1
references
Top references
cited by
0
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
4,678
similar
All similar
Record
: found
Abstract
: not found
Book Chapter
: not found
Brain–Computer Interfaces Handbook : Technological and Theoretical Advances
Designing a BCI Stimulus Presentation Paradigm Using a Performance-Based Approach
other
Author(s):
Boyla O. Mainsah
,
Leslie M. Collins
,
Chandra S. Throckmorton
Publication date:
January 9 2018
Publisher:
CRC Press
Read this book at
Publisher
Buy book
Review
Review book
Invite someone to review
Bookmark
Cite as...
There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Genome Engineering using CRISPR
Most cited references
1
Record
: found
Abstract
: not found
Conference Proceedings
: not found
Exploiting P300 amplitude variations can improve classification accuracy in Donchin's BCI speller
Luca Citi
,
Riccardo Poli
,
Caterina Cinel
(2009)
0
comments
Cited
1
times
– based on
0
reviews
Bookmark
All references
Author and book information
Book Chapter
Publication date:
January 9 2018
Pages
: 487-500
DOI:
10.1201/9781351231954-25
SO-VID:
6ebbfd7b-0bec-4aa3-9b4c-a9f124bdd6db
History
Data availability:
Comments
Comment on this book
Sign in to comment
Book chapters
pp. 11
Brain–Computer Interface
pp. 53
Facilitating the Integration of Modern Neuroscience into Noninvasive BCIs
pp. 69
Passive Brain–Computer Interfaces
pp. 89
Brain–Computer Interfaces for Motor Rehabilitation, Assessment of Consciousness, and Communication
pp. 101
Therapeutic Applications of BCI Technologies
pp. 113
Advances in Neuroprosthetics
pp. 133
Design and Customization of SSVEP-Based BCI Applications Aimed for Elderly People
pp. 147
Affective Brain–Computer Interfacing and Methods for Affective State Detection
pp. 165
Toward Practical BCI Solutions for Entertainment and Art Performance
pp. 193
BCI for Music Making
pp. 209
BCI and Games: Playful, Experience-Oriented Learning by Vivid Feedback?
pp. 235
Brain–Computer Interfaces for Mediating Interaction in Virtual and Augmented Reality
pp. 253
Brain–Computer Interfaces and Haptics
pp. 269
Utilizing Subdermal Electrodes as a Noninvasive Alternative for Motor-Based BCIs
pp. 279
Validation of Neurotrophic Electrode Long-Term Recordings in Human Cortex
pp. 297
ECoG-Based BCIs
pp. 323
BCI Software
pp. 343
Gentle Introduction to Signal Processing and Classification for Single-Trial EEG Analysis
pp. 371
Riemannian Classification for SSVEP-Based BCI
pp. 397
The Fundamentals of Signal Processing for Evoked Potential BCIs:
pp. 407
Bayesian Learning for EEG Analysis
pp. 425
Transfer Learning for BCIs
pp. 445
A Step-by-Step Tutorial for a Motor Imagery–Based BCI
pp. 461
Eye Gaze Collaboration with Brain–Computer Interfaces
pp. 487
Designing a BCI Stimulus Presentation Paradigm Using a Performance-Based Approach
pp. 501
Issues and Challenges in Designing P300 and SSVEP Paradigms
pp. 525
Hybrid Brain–Computer Interfaces and Their Applications
pp. 549
Augmenting Attention with Brain–Computer Interfaces
pp. 563
Toward Usability Evaluation for Brain–Computer Interfaces
pp. 585
Why User-Centered Design Is Relevant for Brain–Computer Interfacing and How It Can Be Implemented in Study Protocols
pp. 595
A Generic Framework for Adaptive EEG-Based BCI Training and Operation
pp. 613
Mind the Traps! Design Guidelines for Rigorous BCI Experiments
pp. 635
Evaluation and Performance Assessment of the Brain–Computer Interface System
pp. 653
Privacy and Ethics in Brain–Computer Interface Research
pp. 669
Associative Plasticity Induced by a Brain–Computer Interface Based on Movement-Related Cortical Potentials
pp. 685
Past and Future of Multi-Mind Brain–Computer Interfaces
pp. 701
Bidirectional Neural Interfaces
pp. 721
Perspectives on Brain–Computer Interfaces
Similar content
4,678
A wearable real-time BCI system based on mobile cloud computing
Authors:
Maria V. Ruiz Blondet
,
Adarsha Badarinath
,
Chetan Khanna
…
Performance evaluation of a motor-imagery-based EEG-Brain computer interface using a combined cue with heterogeneous training data in BCI-Naive subjects
Authors:
Donghag Choi
,
Yeonsoo Ryu
,
Youngbum Lee
…
A BCI Challenge for the Signal Processing Community: Considering the User in the Loop
Authors:
F. Lotte
,
C. Jeunet
,
B. N'Kaoua
…
See all similar