Brain-computer interfaces and education: the state of technology and imperatives for the future

2019 ◽  
Vol 14 (2) ◽  
pp. 141
Author(s):  
Christopher Wegemer
Author(s):  
Yujia Peng

As a new way of implementing human-computer interface, brain-computer interfaces (BCI) dramatically changed the user experiences and have broad applications in cyber behavior research. This chapter aims to provide an overall picture of the BCI science and its role in cyberpsychology. The chapter starts with an introduction of the concept, components, and the history and development of BCI. It is then followed by an overview of neuroimaging technologies and signals commonly used in BCI. Then, different applications of BCI on both the clinical population and the general population are summarized in connection with cyberpsychology. Specifically, applications include communication, rehabilitation, entertainments, learning, marketing, and authentication. The chapter concludes with the future directions of BCI.


Author(s):  
Charles J. Robinson

This chapter provides a definition for Neural Engineering and briefly describes its history. An introduction to neuroscientific principles is presented to provide a basis for understanding neurally-engineered developments. Specific advances in neuroprosthetics are described, including visual prosthetics, cochlear implants, myoelectric artificial limbs, brain-computer interfaces, and functional neuromuscular stimulation applications. Other neural engineering applications and the future potentials of the field are also considered.


2021 ◽  
Vol 3 ◽  
Author(s):  
Guillermo Bernal ◽  
Sean M. Montgomery ◽  
Pattie Maes

Accessibility, adaptability, and transparency of Brain-Computer Interface (BCI) tools and the data they collect will likely impact how we collectively navigate a new digital age. This discussion reviews some of the diverse and transdisciplinary applications of BCI technology and draws speculative inferences about the ways in which BCI tools, combined with machine learning (ML) algorithms may shape the future. BCIs come with substantial ethical and risk considerations, and it is argued that open source principles may help us navigate complex dilemmas by encouraging experimentation and making developments public as we build safeguards into this new paradigm. Bringing open-source principles of adaptability and transparency to BCI tools can help democratize the technology, permitting more voices to contribute to the conversation of what a BCI-driven future should look like. Open-source BCI tools and access to raw data, in contrast to black-box algorithms and limited access to summary data, are critical facets enabling artists, DIYers, researchers and other domain experts to participate in the conversation about how to study and augment human consciousness. Looking forward to a future in which augmented and virtual reality become integral parts of daily life, BCIs will likely play an increasingly important role in creating closed-loop feedback for generative content. Brain-computer interfaces are uniquely situated to provide artificial intelligence (AI) algorithms the necessary data for determining the decoding and timing of content delivery. The extent to which these algorithms are open-source may be critical to examine them for integrity, implicit bias, and conflicts of interest.


2019 ◽  
Vol 4 (3) ◽  
pp. 30-35
Author(s):  
E. S Korovina ◽  
M. S Segreeva ◽  
A. V Zakharov ◽  
V. F Pyatin

Over the last few decades, motor imagery was in the focus of the researchers' attention as a prototypical example of "embodied cognition", and as a basis for neuro-rehabilitation and brain-computer interfaces. This review reveals the concept of motor imagery, the factors characterizing and influencing this process, its neural correlates, and the possibilities for using in neurorehabilitation and brain-computer interfaces. The article explains some discrepancies and variability in findings from previous studies, that will help to optimize a study design in accordance with the purpose of each study in the future.


Author(s):  
S. Srilekha ◽  
B. Vanathi

This paper focuses on electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) comparison to help the rehabilitation patients. Both methods have unique techniques and placement of electrodes. Usage of signals are different in application based on the economic conditions. This study helps in choosing the signal for the betterment of analysis. Ten healthy subject datasets of EEG & FNIRS are taken and applied to plot topography separately. Accuracy, Sensitivity, peaks, integral areas, etc are compared and plotted. The main advantages of this study are to prompt their necessities in the analysis of rehabilitation devices to manage their life as a typical individual.


2014 ◽  
pp. 889-915
Author(s):  
Anna Abakunkova

The article examines the state of the Holocaust historiography in Ukraine for the period of 2010 – beginning of 2014. The review analyzes activities of major research and educational organizations in Ukraine which have significant part of projects devoted to the Holocaust; main publications and discussions on the Holocaust in Ukraine, including publications of Ukrainian authors in academic European and American journals. The article illustrates contemporary tendencies and conditions of the Holocaust Studies in Ukraine, defines major problems and shows perspectives of the future development of the Holocaust historiography in Ukraine.


Author(s):  
VICTOR BURLACHUK

At the end of the twentieth century, questions of a secondary nature suddenly became topical: what do we remember and who owns the memory? Memory as one of the mental characteristics of an individual’s activity is complemented by the concept of collective memory, which requires a different method of analysis than the activity of a separate individual. In the 1970s, a situation arose that gave rise to the so-called "historical politics" or "memory politics." If philosophical studies of memory problems of the 30’s and 40’s of the twentieth century were focused mainly on the peculiarities of perception of the past in the individual and collective consciousness and did not go beyond scientific discussions, then half a century later the situation has changed dramatically. The problem of memory has found its political sound: historians and sociologists, politicians and representatives of the media have entered the discourse on memory. Modern society, including all social, ethnic and family groups, has undergone a profound change in the traditional attitude towards the past, which has been associated with changes in the structure of government. In connection with the discrediting of the Soviet Union, the rapid decline of the Communist Party and its ideology, there was a collapse of Marxism, which provided for a certain model of time and history. The end of the revolutionary idea, a powerful vector that indicated the direction of historical time into the future, inevitably led to a rapid change in perception of the past. Three models of the future, which, according to Pierre Nora, defined the face of the past (the future as a restoration of the past, the future as progress and the future as a revolution) that existed until recently, have now lost their relevance. Today, absolute uncertainty hangs over the future. The inability to predict the future poses certain challenges to the present. The end of any teleology of history imposes on the present a debt of memory. Features of the life of memory, the specifics of its state and functioning directly affect the state of identity, both personal and collective. Distortion of memory, its incorrect work, and its ideological manipulation can give rise to an identity crisis. The memorial phenomenon is a certain political resource in a situation of severe socio-political breaks and changes. In the conditions of the economic crisis and in the absence of a real and clear program for future development, the state often seeks to turn memory into the main element of national consolidation.


Contention ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 49-69 ◽  
Author(s):  
Tareq Sydiq
Keyword(s):  

Based on fieldwork carried out from 2017 and 2018, this article examines various attempts to both organize publicly and disrupt such attempts during the Iranian protests during that time. It argues that interference with spatial realities influenced the social coalitions built during the protests, impacting the capacity of actors to build such coalitions. The post-2009 adaptation of the state inhibited cross-class coalitions despite being challenged, while actors used spatial phrasing indicating they perceived spatial divisions to emulate political ones. Meanwhile, in the immediate aftermath of the December 2017 protests, further attempts to control protest actions impacted not only those who would be able to participate in such events in the future, but also those who felt represented by them and who would be likely to sympathize with them. Based on the spatial conditions under which coalitions form, I argue that asymmetrical contestations of spatiality determined the outcome of the December 2017 protests and may contribute to an understanding of how alliances in Iran will form in the future.


Author(s):  
V. A. Maksimenko ◽  
A. A. Harchenko ◽  
A. Lüttjohann

Introduction: Now the great interest in studying the brain activity based on detection of oscillatory patterns on the recorded data of electrical neuronal activity (electroencephalograms) is associated with the possibility of developing brain-computer interfaces. Braincomputer interfaces are based on the real-time detection of characteristic patterns on electroencephalograms and their transformation  into commands for controlling external devices. One of the important areas of the brain-computer interfaces application is the control of the pathological activity of the brain. This is in demand for epilepsy patients, who do not respond to drug treatment.Purpose: A technique for detecting the characteristic patterns of neural activity preceding the occurrence of epileptic seizures.Results:Using multi-channel electroencephalograms, we consider the dynamics of thalamo-cortical brain network, preceded the occurrence of an epileptic seizure. We have developed technique which allows to predict the occurrence of an epileptic seizure. The technique has been implemented in a brain-computer interface, which has been tested in-vivo on the animal model of absence epilepsy.Practical relevance:The results of our study demonstrate the possibility of epileptic seizures prediction based on multichannel electroencephalograms. The obtained results can be used in the development of neurointerfaces for the prediction and prevention of seizures of various types of epilepsy in humans. 


Sign in / Sign up

Export Citation Format

Share Document