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Single-Trial Evoked Potentials Extraction Based on Sparsifying Transforms

Nannan Yu, Qisheng Ding, Hanbing Lu
2015 Journal of Pharmacy and Pharmacology  
Then we can use the sparse representation algorithm to extract the evoked potentials.  ...  We show the superiority of our approach over some filtering and sparse representation methods.  ...  In our previous paper, we proposed a double-trial EP estimation method, based on JSR (joint sparse representation).  ... 
doi:10.17265/2328-2150/2015.12.003 fatcat:fmnmuk3xs5aw7fjtl7nf6ecp6i

Single-Trial Evoked Potential Estimating Based on Sparse Coding under Impulsive Noise Environment

Nannan Yu, Ying Chen, Lingling Wu, Hanbing Lu
2018 Computational Intelligence and Neuroscience  
Estimating single-trial evoked potentials (EPs) corrupted by the spontaneous electroencephalogram (EEG) can be regarded as signal denoising problem.  ...  Consequently, the performances of general sparse coding will degrade or even fail. In view of this, we present a new sparse coding algorithm using p-norm optimization in single-trial EPs estimating.  ...  To solve this problem, we proposed a dictionary construction method for the EP signal and a double-trial estimation method based on joint sparse representation [9] .  ... 
doi:10.1155/2018/9672871 pmid:29765400 pmcid:PMC5885402 fatcat:6suwe7kplva35k2m2y56bkb4jm

Population-wide distributions of neural activity during perceptual decision-making

Adrien Wohrer, Mark D. Humphries, Christian K. Machens
2013 Progress in Neurobiology  
This approach reveals shared patterns of statistical organization across cortex, including: (i) long-tailed distributions of activity, where quasi-silence seems to be the rule for a majority of neurons  ...  of their representations in the periphery; and (iii) population-wide dynamics that reveal rotations of internal representations over time, whose traces can be found both in stimulus-driven and internally  ...  We also thank Bruno Olshausen for helpful comments on sparse coding theories and the problems of recording and characterising neuron populations in cortex.  ... 
doi:10.1016/j.pneurobio.2012.09.004 pmid:23123501 pmcid:PMC5985929 fatcat:hanif6s5ozd3rp3qclldgesm7a

Coding of Natural Scenes in Primary Visual Cortex

Michael Weliky, József Fiser, Ruskin H Hunt, David N Wagner
2003 Neuron  
This method allowed high density strongly with the local image contrast structure.  ...  For example, a cell's field is stimulated or the stimulus is extended to a large response to a stimulus of optimal orientation and spatial field around the classical receptive field. frequency can be suppressed  ...  ., and Deltermann, for the evoked response to the ith stimulus. For population sparse-A. (2001).  ... 
doi:10.1016/s0896-6273(03)00022-9 pmid:12597866 fatcat:qtdq6v5thjguzi3vlzbiluzmwy

Biosignal Analysis with Matching-Pursuit Based Adaptive Chirplet Transform [article]

Jie Cui, Dinghui Wang
2017 arXiv   pre-print
In this paper, we describe a novel ACT algorithm based on the "coarse-refinement" scheme.  ...  We then demonstrate the capability of our algorithm by applying it to the analysis of representative biosignals, including visual evoked potentials (bioelectrical signals), audible heart sounds and bat  ...  For example, the signal of visual evoked potentials (VEPs) are typically measured under the condition of SNR ≈ −10 dB for a single trial and SNR ≈ 0 dB for an average signal of 50 trials (Regan 1989;  ... 
arXiv:1709.08328v1 fatcat:p3ms64pmwje2rfyog7546eyg4u

Reduction of Information Redundancy in the Ascending Auditory Pathway

Gal Chechik, Michael J. Anderson, Omer Bar-Yosef, Eric D. Young, Naftali Tishby, Israel Nelken
2006 Neuron  
Information processing by a sensory system is reflected in the changes in stimulus representation along its successive processing stages.  ...  Redundancy reduction may be a generic organization principle of neural systems, allowing for easier readout of the identity of complex stimuli in A1 relative to IC.  ...  Acknowledgments This work has been supported by a grant from the Human Frontiers Science Program and by a grant from the Israeli Science Foundation (ISF).  ... 
doi:10.1016/j.neuron.2006.06.030 pmid:16880130 fatcat:tqkyf4vcfbcita3jakcpixwlxq

Motor Cortex Bilateral Motor Representation Depends on Subcortical and Interhemispheric Interactions

M. Brus-Ramer, J. B. Carmel, J. H. Martin
2009 Journal of Neuroscience  
We used intracortical microstimulation (ICMS) to determine the representation of contralateral and ipsilateral forelimb joints at single M1 sites in the rat.  ...  A better understanding of the uncrossed corticospinal system is especially important for elucidating its role in recovery of limb control after unilateral injury.  ...  For a flexor muscle (e.g., biceps), the joint distal to the muscle was extended to evoke a stretch reflex-evoked burst or tonic increase in activity.  ... 
doi:10.1523/jneurosci.5852-08.2009 pmid:19439597 pmcid:PMC2715912 fatcat:qhb6jdvotbdndbf6bzle5yyt2u

Functional Organization of Information Flow in the Corticospinal Pathway

N. Zinger, R. Harel, S. Gabler, Z. Israel, Y. Prut
2013 Journal of Neuroscience  
We addressed these questions by recording from primary motor (M1) and premotor cortical sites in primates (Maccaca fascicularis) performing a motor task, while measuring the evoked intraspinal unit response  ...  Transmission of information in the corticospinal (CS) route constitutes the fundamental infrastructure for voluntary actions.  ...  Response patterns of single spinal neurons support a PMderived inhibitory drive Studying CS connectivity based on the evoked MUA response provides an unbiased estimate for the interactions, similar to  ... 
doi:10.1523/jneurosci.2403-12.2013 pmid:23325255 pmcid:PMC6704852 fatcat:f6kv2qxnszfvxhxs42jtczdisq

Spatio Temporal EEG Source Imaging with the Hierarchical Bayesian Elastic Net and Elitist Lasso Models

Deirel Paz-Linares, Mayrim Vega-Hernández, Pedro A. Rojas-López, Pedro A. Valdés-Hernández, Eduardo Martínez-Montes, Pedro A. Valdés-Sosa
2017 Frontiers in Neuroscience  
We propose a Structured Sparse Bayesian Learning algorithm based on combining the Empirical Bayes and the iterative coordinate descent procedures to estimate both the parameters and hyperparameters.  ...  In this work, we attempt to solve the EEG IP using a Bayesian framework for ENET and ELASSO models.  ...  FIGURE 11 | 11 Time series of the Visual Evoked Potential for all electrodes. A, Reference time point (t = 0 ms) of stimulus onset. B, Global negative maximum potential (t = 281 ms).  ... 
doi:10.3389/fnins.2017.00635 pmid:29200994 pmcid:PMC5696363 fatcat:22wet7y2nfadzksl4obi5aqvki

Multi-Resolution and Wavelet Representations for Identifying Signatures of Disease

Paul Sajda, Andrew Laine, Yehoshua Zeevi
2002 Disease Markers  
in a joint time-frequency and/or space-frequency domain.  ...  Crucial for uncovering these signatures has been the development of methods that exploit general statistical properties of natural signals.  ...  Consider, as an example, the application of wavelettype sparse representations for extracting single-trial evoked responses from MEG multichannel data [71] .  ... 
doi:10.1155/2002/108741 pmid:14646044 pmcid:PMC3851637 fatcat:3igejnra3res3k7m3vhb3sklii

Encoding Stimulus Information by Spike Numbers and Mean Response Time in Primary Auditory Cortex

Israel Nelken, Gal Chechik, Thomas D. Mrsic-Flogel, Andrew J. King, Jan W. H. Schnupp
2005 Journal of Computational Neuroscience  
Here we compared various approaches for estimating the information transmitted by neurons in auditory cortex in two very different experimental paradigms, one measuring spatial tuning and the other responses  ...  Identifying which aspects of the neural responses actually encode sensory information remains a fundamental question in neuroscience.  ...  Mrsic-Flogel, a Wellcome Trust Senior Research Fellowship to A. J. King, by a grant from the Israeli ministry of science to G. Chechik, and by a Volkswagen grant and a GIF grant to I. Nelken.  ... 
doi:10.1007/s10827-005-1739-3 pmid:16133819 fatcat:7b7yojqv7zetrj77rubxj6chb4

Critical features for the perception of emotion from gait

C. L. Roether, L. Omlor, A. Christensen, M. A. Giese
2009 Journal of Vision  
Applying sparse regression, we extracted critical emotion-specific posture and movement features, which typically depended only on a small number of joints.  ...  Body posture was characterized by average flexion angles, and a low-dimensional parameterization of the spatio-temporal structure of joint trajectories was obtained by approximation with a nonlinear mixture  ...  Ilg for assistance in the motion-capture lab, J. Scharm for help with data collection, and T. Flash, T. Hendler, A. Berthoz and M. Pavlova for interesting discussions.  ... 
doi:10.1167/9.6.15 pmid:19761306 fatcat:d4wptw4zizfwpa6g74vnxbiyku

Multiscale Functional Imaging in V1 and Cortical Correlates of Apparent Motion [chapter]

Yves Fregnac, Pierre Baudot, Fréderic Chavane, Jean Lorenceau, Olivier Marre, Cyril Monier, Marc Pananceau, Pedro V. Carelli, Gerard Sadoc
2009 Dynamics of Visual Motion Processing  
This approach, based on functional synaptic imaging, is compared here with a real-time functional network imaging technique, based on the use of voltage-sensitive fluorescent dyes.  ...  We have applied this method to demonstrate the propagation of visually evoked activity through lateral (and possibly feedback) connectivity in the primary cortex of higher mammals.  ...  Intrinsic optical imaging, based on the relative light absorption of oxy-and deoxyhemogloblin gives a static view of the intrinsic activation pattern averaged over time and trials.  ... 
doi:10.1007/978-1-4419-0781-3_4 fatcat:4ffmkfoxkjfhxbadb6ifz35esu

Online SSVEP-based BCI using Riemannian geometry

Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthélemy, Karim Djouani, Eric Monacelli, Yskandar Hamam
2016 Neurocomputing  
The assessment is conducted on real EEG recording: this is the first study on Steady-State Visually Evoked Potential (SSVEP) experimentations to exploit online classification based on Riemannian geometry  ...  As covariance matrices should be estimated, this paper first presents a thorough study of all estimators conducted on real EEG recording.  ...  Acknowledgement The authors would like to thank Louis Mayaud from Mensia Technologies for his contribution in discussions that led to the completion of this work.  ... 
doi:10.1016/j.neucom.2016.01.007 fatcat:46w5aj7anzdibobgadmkduvhlm

Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data

Guoxu Zhou, Qibin Zhao, Yu Zhang, Tulay Adali, Shengli Xie, Andrzej Cichocki
2016 Proceedings of the IEEE  
In this paper, we first provide a brief review of existing matrix-based (two-way) component analysis methods for the joint analysis of such data with a focus on biomedical applications.  ...  Various component analysis methods have played an increasingly important role for the analysis of such coupled data.  ...  Applications of CIFA in SSVEP-Based BCI Steady-state visual evoked potentials (SSVEP) are periodic neural responses elicited at the same frequency as a visual stimulus when a subject is excited at a specific  ... 
doi:10.1109/jproc.2015.2474704 fatcat:7rhda5adurbt3d6bm2ryax6cy4
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