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Single-Trial Evoked Potentials Extraction Based on Sparsifying Transforms
2015
Journal of Pharmacy and Pharmacology
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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
2018
Computational Intelligence and Neuroscience
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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
2013
Progress in Neurobiology
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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
2003
Neuron
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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]
2017
arXiv
pre-print
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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
2006
Neuron
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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
2009
Journal of Neuroscience
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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
2013
Journal of Neuroscience
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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
2017
Frontiers in Neuroscience
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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
2002
Disease Markers
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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
2005
Journal of Computational Neuroscience
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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
2009
Journal of Vision
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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]
2009
Dynamics of Visual Motion Processing
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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
2016
Neurocomputing
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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
2016
Proceedings of the IEEE
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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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