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Single-Trial Evoked Potential Estimating Based on Sparse Coding under Impulsive Noise Environment
2018
Computational Intelligence and Neuroscience
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Experimental results show that the proposed method is effective in estimating single-trial EPs under impulsive noise environment. ...
Estimating single-trial evoked potentials (EPs) corrupted by the spontaneous electroencephalogram (EEG) can be regarded as signal denoising problem. ...
In this paper, we present a novel approach to solving the EP estimating problem under impulsive noise environment based on sparse coding using least mean -norm (SC-LMP) optimization. ...
doi:10.1155/2018/9672871
pmid:29765400
pmcid:PMC5885402
fatcat:6suwe7kplva35k2m2y56bkb4jm
EEG-Based Biometrics: Challenges And Applications
2018
Computational Intelligence and Neuroscience
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in estimating single-trial EPs under impulsive noise environment. ...
Yu et al. evaluated a new sparse coding algorithm using p-norm optimization in single-trial evoked potentials (EPs) estimating, in which we can track the underlying EPs corrupted by -stable distribution ...
doi:10.1155/2018/5483921
pmid:29977277
pmcid:PMC6011092
fatcat:wyc57huupvcarhsocpl5uxr5vq
Neural response dynamics of spiking and local field potential activity depend on CRT monitor refresh rate in the tree shrew primary visual cortex
2011
Journal of Neurophysiology
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Neural response dynamics of spiking and local field potential activity depend on CRT monitor refresh rate in the tree shrew primary visual cortex. ...
For both luminance increments ("white" stimuli) and decrements ("black" stimuli), refresh rate had a strong impact on the temporal dynamics of the neural response for subsequent luminance impulses. ...
Fuchs for helpful comments on the manuscript.
GRANTS This work was supported by Swiss National Science Foundation ProDoc Grant PDFMP3_127179 and a European Young Investigator award to G. Rainer. ...
doi:10.1152/jn.00388.2011
pmid:21849615
fatcat:2eexhhwzgrdmphbkg42sso7b3u
Rapid online learning and robust recall in a neuromorphic olfactory circuit
[article]
2020
arXiv
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We present a neural algorithm for the rapid online learning and identification of odorant samples under noise, based on the architecture of the mammalian olfactory bulb and implemented on the Intel Loihi ...
As with biological olfaction, the spike timing-based algorithm utilizes distributed, event-driven computations and rapid (one-shot) online learning. ...
Abstract We present a neural algorithm for the rapid online learning and identification of odorant samples under noise, based on the architecture of the mammalian olfactory bulb and implemented on the ...
arXiv:1906.07067v3
fatcat:d34m5cbyhrhslhhjcld5zvm6w4
MEG and EEG data analysis with MNE-Python
2013
Frontiers in Neuroscience
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The code is provided under the new BSD license allowing code reuse, even in commercial products. ...
during code development to help share best practices. ...
ACKNOWLEDGMENTS We would like to thank the many members of the M/EEG community who have contributed through code, comments, and even complaints, to the improvement and design of this package. ...
doi:10.3389/fnins.2013.00267
pmid:24431986
pmcid:PMC3872725
fatcat:unycmng6p5bu3hvadnedzgplua
A Marked Point Process Framework for Extracellular Electrical Potentials
2017
Frontiers in Systems Neuroscience
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The cost function incorporates a robust estimation component based on correntropy to mitigate the outliers caused by the inherent noise in the EEP. ...
The results achieve benchmark performance and provide novel quantitative descriptions based on power, event rates and timing in order to assess behavioral correlates beyond the classical power spectrum-based ...
A single-channel, single-trial recording is represented as sparse MPPs for each oscillatory rhythm under consideration. expensive in the training because the optimization needs to construct the essential ...
doi:10.3389/fnsys.2017.00095
pmid:29326562
pmcid:PMC5741641
fatcat:4dnzgq3stfhxrkypffsfqqjmzq
Sensory Adaptation in the Whisker-Mediated Tactile System: Physiology, Theory, and Function
2021
Frontiers in Neuroscience
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Based on direct and indirect pieces of evidence presented here, we suggest sensory adaptation provides context-dependent functional mechanisms for noise reduction in sensory processing, salience processing ...
In the natural environment, organisms are constantly exposed to a continuous stream of sensory input. The dynamics of sensory input changes with organism's behaviour and environmental context. ...
Diamond (International School for Advanced Studies -SISSA), Ramesh Rajan (Monash University) and Nelly Redolfi (University of Padua) for discussions and comments on the manuscript, and Garrett Stanley ...
doi:10.3389/fnins.2021.770011
pmid:34776857
pmcid:PMC8586522
fatcat:dy7l7ss6vzbvlctzycfdnxkw4a
Neural coding and contextual influences in the whisker system
2009
Biological cybernetics
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Future work on neural coding in cortex will need to consider new findings that responses are highly dependent on context, including behavioural and internal states. Adrian ED. ...
Spike initiation by transmembrane current: a white-noise analysis. J Physiol 260: 279-314, 1976. Bullock TH. Integrative systems research on the brain: resurgence and new opportunities. ...
The average jitter of the spike times from trial to trial was 0.4 ms, indicating the potential for a high bandwidth code. ...
doi:10.1007/s00422-008-0290-5
pmid:19189120
fatcat:azavpfc7qvcgbezkx6ybqq5lai
Brain at work: time, sparseness and superposition principles
2012
Frontiers in Bioscience
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We argue for a coding mechanism based on a sparse synchronization paradigm. ...
Also, the coding is likely to be mostly based on the firing rate of neurons. ...
As the typical number of local active connections is relatively small (on the order of ten's) while the typical number of connections between the layers is on the order of thousands; we, then, approximate ...
doi:10.2741/3946
pmid:22201763
fatcat:kc7uyjvi4rhsrmujmqfopylyty
Neurofeedback Training of Auditory Selective Attention Enhances Speech-In-Noise Perception
2021
Frontiers in Human Neuroscience
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Our electroencephalography-based attention decoder classified every single trial using a template-matching method based on pre-defined patterns of cortical auditory responses elicited by either an "up" ...
Our finding suggests a potential rehabilitation strategy for SiN deficits. ...
, 2014) ) based on assumptions of multiple sparse priors (Friston et al., 2008) on an average template brain. ...
doi:10.3389/fnhum.2021.676992
pmid:34239430
pmcid:PMC8258151
fatcat:y2e3acaau5czdfgxljrbdy6oyu
Model-based decoupling of evoked and spontaneous neural activity in calcium imaging data
2020
PLoS Computational Biology
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By not averaging away potentially important information encoded in spontaneous activity, this broadly applicable model brings new insight into population-level neural activity within single trials. ...
The pattern of neural activity evoked by a stimulus can be substantially affected by ongoing spontaneous activity. ...
Acknowledgments We thank Carsen Stringer for helpful feedback on an earlier version of the paper, and Robert Wong for assistance with data preprocessing.
Author Contributions ...
doi:10.1371/journal.pcbi.1008330
pmid:33253161
fatcat:ek3aaqhjw5hpbjofqdyj3zm7dq
Unfold: An integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis
[article]
2018
bioRxiv
pre-print
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deconvolution modeling, and non-linear modeling with the generalized additive model (GAM) into one coherent and flexible analysis framework. ...
Electrophysiological research with event-related brain potentials (ERPs) is increasingly moving from simple, strictly orthogonal stimulation paradigms towards more complex, quasi-experimental designs and ...
(C to E) Latency-sorted and color-coded single-trial potentials at electrode Oz over visual cortex (second row) reveal that the vast majority of trials contain not only the neural response to the face ...
doi:10.1101/360156
fatcat:7tkslbrj6bhg7opsfvepgjxeji
Visual exposure enhances stimulus encoding and persistence in primary cortex
2021
Proceedings of the National Academy of Sciences of the United States of America
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The brain adapts to the sensory environment. For example, simple sensory exposure can modify the response properties of early sensory neurons. ...
Our findings provide evidence for the existence of an automatic, unguided optimization process that enhances the encoding power of neuronal populations in early visual cortex, thus potentially benefiting ...
These LFPs were subject to current source density (CSD) analysis using a standard algorithm (66) based on the second spatial derivative estimate of the laminar local field potential time series. ...
doi:10.1073/pnas.2105276118
pmid:34663727
pmcid:PMC8639370
fatcat:iadzgmeozrfs7e3gnk6sd36vgi
Model-based decoupling of evoked and spontaneous neural activity in calcium imaging data
[article]
2019
bioRxiv
pre-print
Preserved Fulltext
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This broadly applicable model brings new insight into population-level neural activity in single trials without averaging away potentially important information encoded in spontaneous activity. ...
The pattern of neural activity evoked by a stimulus can be substantially affected by ongoing spontaneous activity. ...
Acknowledgements We thank Carsen Stringer for helpful feedback on an earlier version of the paper. ...
doi:10.1101/691261
fatcat:ags3dfznbzfqhkxqdx5cfcco6q
Visual Coding in Locust Photoreceptors
2008
PLoS ONE
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Using conventional sharp microelectrodes, we studied how locust photoreceptors encode random (white-noise, WN) and naturalistic (1/f stimuli, NS) light patterns in vivo and how this coding changes with ...
Furthermore, the Q 10 s of bump duration and latency distribution depended on light intensity. ...
Voltage responses to a WN light stimulus: analysis of the coding properties of the photoreceptor. Analysis of the coding properties of the photoreceptor, based on the SNR(f) (Fig. 1C , right). ...
doi:10.1371/journal.pone.0002173
pmid:18478123
pmcid:PMC2367440
fatcat:fk2rcjqgung6dk4vchm6kk6vni
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