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Feature Selection Methods for Zero-Shot Learning of Neural Activity

Carlos A. Caceres, Matthew J. Roos, Kyle M. Rupp, Griffin Milsap, Nathan E. Crone, Michael E. Wolmetz, Christopher R. Ratto
2017 Frontiers in Neuroinformatics  
approach was able to achieve those accuracies with far fewer features, suggesting the potential for simpler prediction models that yield high zero-shot classification accuracy.  ...  In recent years, zero-shot prediction models have been introduced for mapping between neural signals and semantic attributes, which allows for classification of stimulus classes not explicitly included  ...  Zero-Shot Stimulus Prediction After using regression to transfer between features and attributes, zero-shot stimulus prediction can be performed by a distancebased classifier.  ... 
doi:10.3389/fninf.2017.00041 pmid:28690513 pmcid:PMC5481359 fatcat:dicurkt4lbhjtalh4cpc3ttwfi

Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification [article]

Zhenhailong Wang, Heng Ji
2021 arXiv   pre-print
In this paper, we extend the problem to open vocabulary Electroencephalography(EEG)-To-Text Sequence-To-Sequence decoding and zero-shot sentence sentiment classification on natural reading tasks.  ...  In addition, most of the high-performing approaches require data from invasive devices (e.g., ECoG).  ...  Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation therein.  ... 
arXiv:2112.02690v2 fatcat:adrvyf2debgw3gu6ybkcfsbvwe

State of the Art in BCI Research: BCI Award 2011 [chapter]

Christoph Guger, Brendan Allison, Günter Edlinger
2013 SpringerBriefs in Electrical and Computer Engineering  
Finally, we thank Theresa Vaughan and Jon Wolpaw for organizing the BCI conference 2010 as platform for the BCI Award 2010. The work was funded by the EC projects Decoder, Brainable, Better.  ...  Acknowledgements We are grateful to the members of the jury of the BCI Award 2010: Gerwin Schalk, Theresa Vaughan, Eric Sellers, Dean Krusienski, Klaus-Robert Müller, Benjamin Blankertz, Bo Hong.  ...  for decoding brain signals in real time.  ... 
doi:10.1007/978-3-642-36083-1_1 fatcat:uzdzk36aencnvpyxq5lcufkmne

State-of-the-Art in BCI Research: BCI Award 2010 [chapter]

Christoph Guger et al.
2011 Recent Advances in Brain-Computer Interface Systems  
Finally, we thank Theresa Vaughan and Jon Wolpaw for organizing the BCI conference 2010 as platform for the BCI Award 2010. The work was funded by the EC projects Decoder, Brainable, Better.  ...  Acknowledgements We are grateful to the members of the jury of the BCI Award 2010: Gerwin Schalk, Theresa Vaughan, Eric Sellers, Dean Krusienski, Klaus-Robert Müller, Benjamin Blankertz, Bo Hong.  ...  for decoding brain signals in real time.  ... 
doi:10.5772/15017 fatcat:ztqjqr72sfhezl2m44pupzdlqy

Discrimination of Movement-Related Cortical Potentials Exploiting Unsupervised Learned Representations From ECoGs

Carlos A. Loza, Chandan G. Reddy, Shailaja Akella, José C. Príncipe
2019 Frontiers in Neuroscience  
BCI based on electrocorticogram or ECoG represent a viable compromise between clinical practicality, spatial resolution, and signal quality when it comes to extracellular electrical potentials from local  ...  Brain-Computer Interfaces (BCI) aim to bypass the peripheral nervous system to link the brain to external devices via successful modeling of decoding mechanisms.  ...  The broad spectral support available via ECoG recordings has important implications for BCI applications pertaining to encoding and decoding motor tasks.  ... 
doi:10.3389/fnins.2019.01248 pmid:31824249 pmcid:PMC6882771 fatcat:adu7lewuy5fvjlanoy2rr66zui

Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis [article]

Pranali Kokate, Sidharth Pancholi, Amit M. Joshi
2021 arXiv   pre-print
In addition to accuracy, Precision, F1-Score, and recall was considered as the performance metrics.  ...  The Brain-Computer Interface system is a profoundly developing area of experimentation for Motor activities which plays vital role in decoding cognitive activities.  ...  Internal sources may lead to the formation of shot, flicker, or thermal sounds, which can cause fluctuations in acquired brain potentials [23] .  ... 
arXiv:2107.08514v1 fatcat:4aijbhssk5dejehq2uuvx4527e

Affective Brain-Computer Interfaces [chapter]

Rafael Calvo, Sidney D'Mello, Jonathan Gratch, Arvid Kappas, Christian Mühl, Dirk Heylen, Anton Nijholt
2015 The Oxford Handbook of Affective Computing  
While active BCI paradigms have received a lot of attention in recent years, research on passive approaches to BCI still desperately needs concerted activity.  ...  information about the user state in innovative and adaptive applications.  ...  In other words, dialogue partners tend to copy aspects of each other's language.  ... 
doi:10.1093/oxfordhb/9780199942237.013.024 fatcat:oia3yvk7hbf7ta6magl6bzjx6u

EEG Source Analysis [chapter]

Marco Congedo, Leslie Sherlin
2011 Neurofeedback and Neuromodulation Techniques and Applications  
potentials and steadystate evoked potentials.  ...  We believe firmly that the Riamannian framework will receive more and more attention in the BCI community and candidates to become the "standard" very much sought by the field.  ...  A recent trend in BCI research is to integrate BCI commands in video-games and more in general to enrich recreational applications via BCI control.  ... 
doi:10.1016/b978-0-12-382235-2.00002-0 fatcat:4to7kmjd4rcj3lfv2qwhkgpjui

EMG-based Simultaneous and Proportional Estimation of Wrist Kinematics and its Application in Intuitive Myoelectric Control for Unilateral transradial Amputees

Farina Dario
2011 Frontiers in Computational Neuroscience  
To address this problem, we used a chronically implanted microdrive with independently movable electrodes to map the depth dependence of spatially tuned local field potentials (LFP) in PFC of Rhesus macaques  ...  ., and Zito, T. (2008) . G-Node: An integrated tool-sharing platform to support cellular and systems neurophysiology in the age of global neuroinformatics. Neural Networks 21, 1070-1075.  ...  To advance ECoG/EEG/MEG based BCIs a better understanding of movement encoding in these signals is essential and I will discuss our recent progress in this direction. Contributions from A.  ... 
doi:10.3389/conf.fncom.2011.53.00081 fatcat:nkq5wesfpbcjnikbxqh3v3gtqi

Real-time decoding of covert attention in higher-order visual areas

Jinendra Ekanayake, Chloe Hutton, Gerard Ridgway, Frank Scharnowski, Nikolaus Weiskopf, Geraint Rees
By utilising higher order mental processes, 'cognitive BCIs' access varied and therefore more versatile information, potentially providing a platform for communication in patients who are unable to speak  ...  Accuracies in three target regions were significantly above chance, with individual decoding accuracies reaching upto 70%.  ...  Supplementary data Supplementary data related to this article can be found at https://doi. org/10.1016/j.neuroimage.2017.12.019.  ... 
doi:10.3929/ethz-b-000228345 fatcat:2pmxyfazdjf2pe2nlldranlnna

29th Annual Computational Neuroscience Meeting: CNS*2020

2020 BMC Neuroscience  
This includes (i) how growing axons navigate to their targets by detecting and responding to molecular cues in their environment, (ii) the formation of maps in the visual cortex and how these are influenced  ...  Hence, feedback from downstream visual cortical areas to V1 for better decoding (recognition), through analysis-by-synthesis, should query for additional information and be mainly directed at the foveal  ...  Acknowledgments: The research reported here was supported, in part, by NSF grant #1544383 and in part by AFOSR grant #FA9550-16-1-0410.  ... 
doi:10.1186/s12868-020-00593-1 pmid:33342424 fatcat:edosycf35zfifm552a2aogis7a

Coffee Break 11:30 46 Passive BCI-Based Neuroadaptive Systems

Assoc Dipl, Ing, Techn Scherer, David Steyrl, Joana Pereira, Nicolas Ramsey, Brain Center, Rudolf Magnus, Lea Hehenberger, Andreas Pinegger, Patrick Ofner, Andreas Schwarz (+285 others)
All these questions are vivid and need to be addressed to achieve progress in the fi eld of BCI research.  ...  On the other hand, we see that fi rst BCI systems come to patients in clinics and that they are used on regular basis.  ...  Müller-Putz 10:45 78 Approaches to Zero-Shot Stimulus Decoding in ECoG and Potential BCI Applications The PROMOTOER: a Successful Story of Translational Research in BCI for Motor Rehabilitation Floriana  ... 

25th Annual Computational Neuroscience Meeting: CNS-2016

Tatyana O. Sharpee, Alain Destexhe, Mitsuo Kawato, Vladislav Sekulić, Frances K. Skinner, Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári, Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett (+597 others)
2016 BMC Neuroscience  
I will discuss theoretical results that point to functional advantages of splitting neural populations into subtypes, both in feedforward and recurrent networks.  ...  Part of this complexity is related to the number of different cell types that work together to encode stimuli.  ...  The funders had no role in study design, data collection and analysis, the decision to publish, or the preparation of the manuscript.  ... 
doi:10.1186/s12868-016-0283-6 pmid:27534393 pmcid:PMC5001212 fatcat:bt45etzj2bbolfcxlxo7hlv6ju

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  In particular, we wanted to explore the effect of the spatial extension, position and sparsity of the MF input , and in the next stage, the projection patterns from the GrCs to the PCs (Josselyn & Tonegawa  ...  Owing to the randomness of positions of cells and connectivity, there were large variations of the strength of the PC response depending on the precise location of the stimulus.  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu

Track C

2014 Biomedical Engineering  
The scheme is capable to cope with inappropriately initialized parameter values. In experiments it is validated for two scenarios simulating inappropriate parameter values.  ...  As the determination of suitable and individualized parameter values for myoelectric-controlled human-machine interfaces is time-consuming, this work presents an incremental parameter adaptation scheme  ...  The author would like to thank Christopher Dörr, THM, for helpful discussions and Youssef Belhoucine, THM, for help with ECG recording.  ... 
doi:10.1515/bmt-2014-5002 pmid:25385887 fatcat:duiajlu3i5gdffz5o4extkvyjm
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