Filters








1,251 Hits in 7.1 sec

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  
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

Victor Hugo C. de Albuquerque, Robertas Damaševičius, João Manuel R. S. Tavares, Plácido R. Pinheiro
2018 Computational Intelligence and Neuroscience  
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

Julia Veit, Anwesha Bhattacharyya, Robert Kretz, Gregor Rainer
2011 Journal of Neurophysiology  
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]

Nabil Imam, Thomas A. Cleland
2020 arXiv   pre-print
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

Alexandre Gramfort
2013 Frontiers in Neuroscience  
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

Carlos A. Loza, Michael S. Okun, José C. Príncipe
2017 Frontiers in Systems Neuroscience  
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

Mehdi Adibi, Ilan Lampl
2021 Frontiers in Neuroscience  
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

Rasmus S. Petersen, Stefano Panzeri, Miguel Maravall
2009 Biological cybernetics  
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

Stephane Molotchnikoff
2012 Frontiers in Bioscience  
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

Subong Kim, Caroline Emory, Inyong Choi
2021 Frontiers in Human Neuroscience  
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

Marcus A. Triplett, Zac Pujic, Biao Sun, Lilach Avitan, Geoffrey J. Goodhill, Saad Jbabdi
2020 PLoS Computational Biology  
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]

Benedikt V Ehinger, Olaf Dimigen
2018 bioRxiv   pre-print
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

Andreea Lazar, Christopher Lewis, Pascal Fries, Wolf Singer, Danko Nikolic
2021 Proceedings of the National Academy of Sciences of the United States of America  
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]

Marcus A Triplett, Zac Pujic, Biao Sun, Lilach Avitan, Geoffrey J Goodhill
2019 bioRxiv   pre-print
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

Olivier Faivre, Mikko Juusola, Martin Giurfa
2008 PLoS ONE  
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
« Previous Showing results 1 — 15 out of 1,251 results