Brain-computer interface research : a state-of-the-art summary 6 /

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Bibliographic Details
Imprint:Cham, Switzerland : Springer, [2017]
Description:1 online resource : illustrations
Language:English
Series:SpringerBriefs in electrical and computer engineering
SpringerBriefs in electrical and computer engineering.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11384087
Hidden Bibliographic Details
Other authors / contributors:Guger, Christoph, editor.
Allison, Brendan, editor.
Lebedev, Mikhail (Mikhail A.), editor.
ISBN:9783319643731
3319643738
331964372X
9783319643724
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Summary:This book presents compact and informative descriptions of the most promising new projects in brain-computer interface (BCI) research. As in earlier volumes in this series, the contributions come from many of the best-known groups in BCI research. Each of these chapters provides an overview of a project that was nominated for the most prestigious award in the BCI community: the Annual BCI Research Award. The book also contains an introduction and discussion with a review of major trends reflected in the awards. This volume also introduces a new type of contribution, namely a chapter"Trends in BCI Research" that summarizes a top trend in the BCI research community. This year's "Trends in BCI Research" addresses BCI technology to help patients with disorders of consciousness (DOC) and related conditions, including new work that goes beyond communication to diagnosis and even prediction.
Other form:Print version: Brain-computer interface research. Cham, Switzerland : Springer, [2017] 331964372X 9783319643724
Standard no.:10.1007/978-3-319-64373-1
Table of Contents:
  • 1 Introduction; 1 What Is a BCI?; 2 The Annual BCI-Research Award; 3 The BCI Book Series; 4 Projects Nominated for the BCI Award 2016; 5 Summary; 2 Advances in BCI: A Neural Bypass Technology to Reconnect the Brain to the Body; 1 Introduction; 2 Methods; 2.1 Study Design and Surgery; 2.2 Novel Hardware and Software Development; 2.3 Participant Sessions and Neural Decoder Training; 3 Results; 4 Current Work and Outlook Towards Future; 5 Neurorehabilitation Outcomes and Need for Standardized Tests for Evaluating SCI Neuroprosthetics; References.
  • 3 Precise and Reliable Activation of Cortex with Micro-coils1 Introduction; 2 Neuronal Activation with Submillimeter-Sized Inductors; 3 Enhanced Control of Cortical Pyramidal Neurons with Micromagnetic Stimulation; 4 Development of Implantable Micro-coils for Intracortical Magnetic Stimulation; 5 Discussion; Acknowledgments; References; 4 Re(con)volution: Accurate Response Prediction for Broad-Band Evoked Potentials-Based Brain Computer Interfaces; 1 Introduction; 2 Related Work; 3 Generative Model; 3.1 Staged Approach; 3.2 Integrated Approach; 3.3 Zero-Training Approach; 4 Dynamic Stopping.
  • 5 Optimized Stimuli6 Conclusion; References; 5 Intracortical Microstimulation as a Feedback Source for Brain-Computer Interface Users; 1 Introduction; 2 Methods; 3 Results; 3.1 Projected Fields and Perceptual Quality; 3.2 Psychometric Evaluation; 3.3 Real-time ICMS Feedback Tasks; 4 Discussion; 5 Conclusions; Acknowledgements; References; 6 A Minimally Invasive Endovascular Stent-Electrode Array for Chronic Recordings of Cortical Neural Activity; 1 Introduction; 2 Mapping Cerebral Vessels; 3 Device Design and Delivery; 4 Sinus Endothelialisation; 5 Chronic Vessel Patency; 6 Vascular ECoG.
  • 6.1 Modulatory Effects of Anaesthesia6.2 Bandwidth and Power Spectra; 7 Discussion and Long Term Perspectives; Acknowledgements; References; 7 Visual Cue-Guided Rat Cyborg; 1 Introduction; 2 Overview; 3 Basic Rat Robot; 3.1 Stimulation-Action Principles; 3.2 Hardware Modules; 4 Rat Cyborg; 4.1 Object Detection; 4.2 Closed-Loop Stimulation Model; 5 Experiments; 5.1 Evaluation of the Rat State Extraction Method; 5.2 Evaluation of the Closed-Loop Stimulation Model; 6 Conclusion and Discussion; Acknowledgements; References; 8 Predicting Motor Intentions with Closed-Loop Brain-Computer Interfaces.
  • 1 Introduction1.1 EEG Signals Predictive of Movement Intentions; 1.2 Two Studies; 2 Methods; 2.1 Experimental Task; 2.2 Data Acquisition; 2.3 Online Classifier; 3 Results; 3.1 Mean Event-Related Potentials; 3.2 Performance of Online Predictors; 3.3 The Cancelling of Self-initiated Movements; 4 Discussion; Acknowledgements; References; 9 Towards Online Functional Brain Mapping and Monitoring During Awake Craniotomy Surgery Using ECoG-Based Brain-Surgeon Interface (BSI); 1 Introduction; 2 Motor Cortex Mapping with ERD/S and MRCP; 3 Sensory Cortex Mapping with ERD/S and SSSEP.