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Advanced multimodal interaction techniques and user interfaces for serious games and virtual environments
2021
Journal on Multimodal User Interfaces
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, brain-computer interfaces, exergames, interactive physics simulations and AI techniques, that require multimodal approaches. ...
Designs across two simulations were compared to understand which auditory designs could generalize to other simulations. ...
doi:10.1007/s12193-021-00380-0
fatcat:wi2elpeu5fgjfmxditrid6qlty
Page 1606 of Psychological Abstracts Vol. 90, Issue 5
[page]
2003
Psychological Abstracts
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—Describes an emerging approach to the design of human-machine systems referred to as ‘neuroadaptive interface technology.’ ...
A neuroadaptive interface is an ensem- ble of computer-based displays and controls whose functional characteristics change in response to meaningful variations in the user’s cognitive and/or emotional ...
Sleep, neuroengineering and dynamics
2012
Cognitive Neurodynamics
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as well as their treatment by stimulation, neuroprosthetics and brain-computer-interface approaches, and stimulation approaches that probe, influence and strengthen memory consolidation. ...
In all these fields, computational models connect theory, neurophysiology and neuroengineering research and pave a way towards medical applications. ...
Acknowledgments The collection of articles on these topics in the current and the subsequent issue of Cognitive Neurodynamics emerged from the 1st Baltic Autumn School ''Applied Computational Neuroscience ...
doi:10.1007/s11571-012-9204-2
pmid:23730352
pmcid:PMC3368056
fatcat:v3ojnh6rere2lewsjrectya7oe
Editorial: Computational Neuroscience and Modeling of Diseases: Do We Need New Paradigms?
2012
Basic and Clinical Neuroscience
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Theoretical approaches towards computation in neural systems, however, are still in a much less mature stage. ...
Computational neuroscience developed into a key discipline within system neuroscience providing the theoretical and computational tools which are necessary for understanding the brain as a complex dynamical ...
doaj:92e03fe3dc014da28e2d9e917afa3dd2
fatcat:p5r6fsc4yneoxfy5winjw6aa2m
Intracortical Brain-Computer Interfaces for the Restoration of Communication and Mobility
2013
Biophysical Journal
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Through clinical translation based on decades of basic neuroscience research, intracortically-based "brain-computer interfaces" are poised to revolutionize our ability to restore lost function. ...
We propose a novel mechanism for achieving this conversion through a simple Hebbian learning mechanism, operating within a sensorimotor feedback loop, that gives rise to control theoretic inverse models ...
enables us to not only predict electrode performance but also design strategies to improve performance.
1927-Symp Control Theoretic Inverse Models in Bird Song Learning: Theory and Experiment Surya ...
doi:10.1016/j.bpj.2012.11.2094
fatcat:p7ircxobu5fapgj2uo2vqmjvfi
Control Theoretic Inverse Models in Bird Song Learning: Theory and Experiment
2013
Biophysical Journal
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Through clinical translation based on decades of basic neuroscience research, intracortically-based "brain-computer interfaces" are poised to revolutionize our ability to restore lost function. ...
We propose a novel mechanism for achieving this conversion through a simple Hebbian learning mechanism, operating within a sensorimotor feedback loop, that gives rise to control theoretic inverse models ...
enables us to not only predict electrode performance but also design strategies to improve performance.
1927-Symp Control Theoretic Inverse Models in Bird Song Learning: Theory and Experiment Surya ...
doi:10.1016/j.bpj.2012.11.2093
fatcat:2dckyiqyjjewva32c3j43czvru
An Exploration of HCI Design Features and Usability Techniques in Gaming
2013
IOSR Journal of Computer Engineering
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This Conference paper explores the human computer interaction design features relating to gaming industry. ...
The HCI user design interface development and HCI Usability expectations are discussed in this paper. HCI design features of Simple Sudoku and Contemporary HCI Expectations are also discussed. ...
.
2.5.3 BCI Devices are used to control the computer and the devices are controlled by brains of the user or gamer.
2.5.4 Thoughts of user are being transformed to the games virtually by the BCI devices ...
doi:10.9790/0661-1535357
fatcat:z736pydeivcafmk527l3dc3eqy
Bridging multiple levels of exploration: towards a neuroengineering-based approach to physiological and pathological problems in neuroscience
2008
Frontiers in Neuroscience
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; from cells to networks; from systems to artificial systems), ii) to design and implement novel devices to replace parts of the brain; iii) to consolidate a design-oriented approach to the understanding ...
Neuroengineering benefits therefore of a unique intellectual position that allows the use of experimental and theoretical tools to study issues ranging from memory formation or sensory encoding, brain ...
doi:10.3389/neuro.01.024.2008
pmid:18982103
pmcid:PMC2570066
fatcat:oylj5qxsyfhk5oxdu76fsun6pi
Page 2264 of Psychological Abstracts Vol. 85, Issue 5
[page]
1998
Psychological Abstracts
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These preliminary studies were then modified using a back-propagation neurocomputational approach. Com- puter program output showed a resemblance to normal controls’ TOH moves. ...
(U Illinois, Dept of Mechanical Engineer- ing, Chicago, IL) Neural networks approach to user and intelligence interface: A review and reappraisal. ...
Playing with your brain
2007
Proceedings of the international conference on Advances in computer entertainment technology - ACE '07
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In this workshop we investigate a possible role of brain-computer interaction in computer games and entertainment computing. ...
in order to provide appropriate feedback and a context where brain activity information is one of the multi-modal interaction modalities that is provided to the user. ...
Providing these patients with brain-computer interfaces that allow them to control computers directly with their brain signals could dramatically increase their quality of life. ...
doi:10.1145/1255047.1255140
dblp:conf/ACMace/NijholtT07
fatcat:enwfyetol5he5icqbgjxa5jmeq
Is the Extent of Blood-Brain-Barrier Breach Predictive of Intracortical Electrode Performance?
2013
Biophysical Journal
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Through clinical translation based on decades of basic neuroscience research, intracortically-based "brain-computer interfaces" are poised to revolutionize our ability to restore lost function. ...
We propose a novel mechanism for achieving this conversion through a simple Hebbian learning mechanism, operating within a sensorimotor feedback loop, that gives rise to control theoretic inverse models ...
enables us to not only predict electrode performance but also design strategies to improve performance.
1927-Symp Control Theoretic Inverse Models in Bird Song Learning: Theory and Experiment Surya ...
doi:10.1016/j.bpj.2012.11.2092
fatcat:mjw5zbyxovcjxnw6ijo2bhto5q
Structures of Biomolecular Complexes from Heterogeneous Data and Bayesian Data Analysis
2013
Biophysical Journal
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Through clinical translation based on decades of basic neuroscience research, intracortically-based "brain-computer interfaces" are poised to revolutionize our ability to restore lost function. ...
We propose a novel mechanism for achieving this conversion through a simple Hebbian learning mechanism, operating within a sensorimotor feedback loop, that gives rise to control theoretic inverse models ...
enables us to not only predict electrode performance but also design strategies to improve performance.
1927-Symp Control Theoretic Inverse Models in Bird Song Learning: Theory and Experiment Surya ...
doi:10.1016/j.bpj.2012.11.2089
fatcat:z7rpusj3qjb3vawtrthxwvaeoe
Multiscale Simulation of Multiprotein Assemblies: The Challenges of Ultra-Coarse-Graining
2013
Biophysical Journal
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The file type is application/pdf.
Through clinical translation based on decades of basic neuroscience research, intracortically-based "brain-computer interfaces" are poised to revolutionize our ability to restore lost function. ...
We propose a novel mechanism for achieving this conversion through a simple Hebbian learning mechanism, operating within a sensorimotor feedback loop, that gives rise to control theoretic inverse models ...
enables us to not only predict electrode performance but also design strategies to improve performance.
1927-Symp Control Theoretic Inverse Models in Bird Song Learning: Theory and Experiment Surya ...
doi:10.1016/j.bpj.2012.11.2090
fatcat:3uewg6fyqbabtintrp3moks6mm
Improving HCI with Brain Input: Review, Trends, and Outlook
2021
Foundations and Trends® in Human–Computer Interaction
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"A predictive speller controlled by a brain-computer interface based on motor imagery". Cherng, F.-Y., W.-C. Lin, J.-T. King, and Y.-C. Lee (2016). ...
The Brain-Computer Interfaces Handbook (Nam et al., 2018) is a comprehensive textbook that brings together many aspects of real-time brain input for active control and passive user state monitoring. ...
doi:10.1561/1100000078
fatcat:iuzmiwej6zgf3dw7vm7rw7fjtu
Current trends in brain-computer interface research at the neil squire foundation
2003
IEEE transactions on neural systems and rehabilitation engineering
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The NSF Brain Interface Project primarily focuses on the development of brain-computer interface switch technologies for intermittent (or asynchronous) control in natural environments. ...
The ultimate goal of our Brain Interface Project is to create an advanced communications interface that will allow an individual with a high-level of impairment to have effective and sophisticated control ...
doi:10.1109/tnsre.2003.814450
pmid:12899252
fatcat:bbtwjbpkgncevagne76pxkirvy
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