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45 results for “blinking”
EEG study of the attentional blink; before, during, and after transcranial Direct Current Stimulation (tDCS)
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Data set to article "Rapid serial processing of natural scenes: Color modulates detection but neither recognition nor the attentional blink"
<p>The file Data_Marxetal2014_AB.csv contains the data to the paper<br> Marx, S., Hansen-Goos, O., Thrun, M., & Einhäuser, W. (2014). Rapid serial processing of natural scenes: Color modulates detection but neither recognition nor the attentional blink. Journal of Vision, 14(14):4, 1-18, http://www.journalofvision.org/content/14/14/4, doi:10.1167/14.14.4.<br> as comma-separated value (csv) file</p> <p>Each row contains the data of one trial, represented by the following columns</p> <p>1 - number of the line<br> 2 - subject ID<br> 3 - experiment number<br> 4 - color condition (1: gray inverted, 2: gray original, 3: color inverted, 4: color original)<br> 5 - number of targets<br> 6 - SOA in ms<br> 7 - serial position of first target (0 if absent)<br> 8 - serial position of second target (0 if absent)<br> 9 - category of first target (1: feline, 2: avian, 3: ungulate, 4: canine)<br> 10 - category of second target (1: feline, 2: avian, 3: ungulate, 4: canine)<br> 11 - response to "How many animals?" (detection)<br> 12 - response to first category (recognition, 1: feline, 2: avian, 3: ungulate, 4: canine)<br> 13 - response to second category (recognition, 1: feline, 2: avian, 3: ungulate, 4: canine)</p>
Eye blink events ground truth for UBFC video dataset
<p>In this dataset we annotate the timing of blinking events for all 42 videos in the UBFC dataset (available at https://sites.google.com/view/ybenezeth/ubfcrppg).</p> <p>There is one .txt file for each subject, for which each line corresponds to the frame number of a blinking event (videos @30fps).</p> <p>This dataset was created for testing the performance of blinking detection algorithms and is motivated by the potential of using blinking behaviour to assess the depressive condition through video teleconsultation.</p> <p> </p>
Dataset: Blink Charging Co. (BLNK) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Data from: Relating pupil diameter and blinking to cortical activity and hemodynamics across arousal states
<p>Arousal state affects neural activity and vascular dynamics in the cortex, with sleep associated with large changes in the local field potential (LFP) and increases in cortical blood flow. We investigated the relationship between pupil diameter and blink rate with neural activity and blood volume in the somatosensory cortex in male and female unanesthetized, head-fixed mice. We monitored these variables while the mice were awake, during periods of rapid eye movement (REM), and during non-rapid eye movement (NREM) sleep. Pupil diameter was smaller during sleep than in the awake state. Changes in pupil diameter were coherent with both gamma-band power and blood volume in the somatosensory cortex, but the strength and sign of this relationship varied with arousal state. We observed a strong negative correlation between pupil diameter and both gamma-band power and blood volume during periods of awake rest and NREM sleep, though the correlations between pupil diameter and these signals became positive during periods of alertness, active whisking, and REM. Blinking was associated with increases in arousal and decreases in blood volume when the mouse was asleep. Bilateral coherence in gamma-band power and in blood volume dropped following awake blinking, indicating a 'reset' of neural and vascular activity. Using only eye metrics (pupil diameter and eye motion), we could determine the mouse's arousal state ('Awake', 'NREM', 'REM') with greater than 90% accuracy with a 5-second resolution. There is a strong relationship between pupil diameter and hemodynamics signals in mice, reflecting the pronounced effects of arousal on cerebrovascular dynamics.</p>
Data from: Relating pupil diameter and blinking to cortical activity and hemodynamics across arousal states
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Source data for: Electrochemically controlled blinking of fluorophores for quantitative STORM imaging
<p>Stochastic optical reconstruction microscopy (STORM) allows widefield imaging with single-molecule resolution by calculating the coordinates of individual fluorophores from the separation of the fluorophore emission in both time and space. Such separation is achieved by photoswitching the fluorophores between a long-lived OFF state and an emissive ON state. While STORM can image single molecules, molecular counting remains challenging due to undercounting errors from photobleached or overlapping dyes and overcounting artifacts from the repetitive random blinking of the dyes. Here, we show that fluorophores can be switched electrochemically for STORM imaging (EC-STORM), with excellent control over the switching kinetics, duty cycle, and recovery yield. Using EC-STORM, we demonstrate molecular counting by using electrochemical potential to control the photophysics of dyes. The random blinking of dyes is suppressed by a negative potential but the switching ON event can be activated by a short pulsed positive potential, such that the frequency of ON events scales linearly with the number of underlying dyes. We also demonstrate the EC-STORM of tubulins in fixed cells with a spatial resolution as low as ~28 nm and counting of single Alexa 647 fluorophores on various DNA nanoruler structures. This control over fluorophore switching will enable EC-STORM to be broadly applicable in super-resolution imaging and molecular counting.</p>
Unsupervised Blink Detection Using Eye Aspect Ratio Values
<p>This datastore supports an open-source blink detection software which acts as both an implementation of methods proposed in the (unpublished) paper "Unsupervised Blink Detection Using Eye Aspect Ratio Values" and a validation of the results provided.</p> <p>The software can be accessed at the <strong>GitHub repository</strong>: <a href="https://github.com/mi3nts/tobiiBlinkDetection">https://github.com/mi3nts/tobiiBlinkDetection</a></p> <p>Although the study results can be displayed readily from the files provided at the GitHub, this datastore contains the required resources to apply the proposed blink detection algorithm to new data. Simply download this file and replace the resources folder of the cloned repository.</p>
Testing the Skill-based Approach: Consolidation strategy impacts Attentional Blink performance
<p>Data accompanying the journal article Testing the Skill-based Approach: Consolidation strategy impacts Attentional Blink performance published in PLOS ONE. It contains the datasets (without personal information) for both experiments and a small R file that can be used to read in the data.</p>
The origin of blinking in both mudskippers and tetrapods is linked to life on land
<p>Blinking, the transient occlusion of the eye by one or more membranes, serves several functions including wetting, protecting, and cleaning the eye. This behavior is seen in nearly all living tetrapods and absent in other extant sarcopterygian lineages, suggesting that it might have arisen during the water-to-land transition. Unfortunately, our understanding of the origin of blinking has been limited by a lack of known anatomical correlates of the behavior in the fossil record and a paucity of comparative functional studies. To understand how and why blinking originates, we leverage mudskippers (Oxudercinae), a clade of amphibious fishes that have convergently evolved blinking. Using micro-computed tomography and histology, we analyzed two mudskipper species, <em>Periophthalmus</em> <em>barbarus</em> and <em>Periophthalmodon</em> <em>septemradiatus</em>, and compared them to the fully aquatic round goby, <em>Neogobius</em> <em>melanostomus</em>. Study of gross anatomy and epithelial microstructure shows that mudskippers have not evolved novel musculature or glands to blink. Behavioral analyses show the blinks of mudskippers are functionally convergent with those of tetrapods: <em>P. barbarus</em> blinks more often under high evaporation conditions to wet the eye, a blink reflex protects the eye from physical insult, and a single blink can fully clean the cornea of particulates. Thus, eye retraction in concert with a passive occlusal membrane can achieve functions associated with life on land. Osteological correlates of eye retraction are present in the earliest limbed vertebrates, suggesting blinking capability. In both mudskippers and tetrapods, therefore, the origin of this multifunctional innovation is likely explained by selection for increasingly terrestrial lifestyles.</p>
Source data for: Electrochemically controlled blinking of fluorophores for quantitative STORM imaging
Open the record for dataset details and reuse information.
The origin of blinking in both mudskippers and tetrapods is linked to life on land
Open the record for dataset details and reuse information.
Exploring Blink-Rate Behaviors for Cybersickness Detection in VR
<p>This Dataset was constructed for the paper "Exploring Blink-Rate Behaviors for Cybersickness Detection in VR" by Lopes, Tian and Boulic; published at the IEEE VR conference in 2020.</p> <p>All data was recorded using the HTC Vive Pro Eye at a sampling rate of 120hz. Furthermore, this dataset also includes the SSQ responses obtained from the participants.</p> <p>Further details are included in the .zip file on how to interpret and process this data.</p>
Near-infrared MINFLUX imaging enabled by suppression of fluorophore blinking
<p><strong>This upload contains raw data and simulation software underlying the results presented in a manuscript submitted for peer-review</strong><strong>, with the title:</strong></p> <p><strong> </strong></p> <p><strong>Near-infrared MINFLUX imaging enabled by suppression of fluorophore blinking</strong></p> <p> </p> <p><strong>Authored by:</strong></p> <p><strong>C Venugopal Srambickal<sup>1,*</sup>, H Esmaeeli<sup>1,*</sup>, J Piguet<sup>1</sup>, L Reinkensmeier<sup>2</sup>, R Siegmund<sup>2</sup>, A Agostinho<sup>3</sup> ,M Bates<sup>2</sup>, A Egner<sup>2</sup>, J Widengren<sup>1,**</sup></strong></p> <p><sup>1</sup> Experimental Biomolecular Physics, Bio-Opto-Nano Unit, Department of Applied Physics, Royal Institute of Technology, SE-10691 Stockholm, Sweden</p> <p><sup>2 </sup>Department of Optical Nanoscopy, Institute for Nanophotonics, D-37077 Göttingen, Germany</p> <p><sup>3</sup> Science for Life Laboratory, Department of Applied Physics, Royal Institute of Technology, SE-17165 Solna, Sweden</p> <p><sup>*</sup> Contributed equally</p> <p><sup>**</sup> Corresponding author: jwideng@kth.se</p> <p> </p> <p><strong>ABSTRACT</strong></p> <p>MINimal photon FLUXes (MINFLUX) offers super-resolution microscopy (SRM) with nanometer localization precision, with lower fluorophore brightness and photostability requirements than for other SRM techniques. Nonetheless, low localization probabilities have been reported in several MINFLUX studies, and a broader use of less bright and photostable fluorophores, including near-infrared (NIR) fluorophores has been difficult to realize. In this work, we identified fluorophore blinking as a main cause of erroneous (and dismissed) fluorophore localizations in MINFLUX imaging and devised strategies to overcome these effects. We systematically studied the blinking/switching properties of cyanine fluorophores emitting in the far-red or NIR range, over typical time scales (µs-10ms), sample and excitation conditions used in MINFLUX imaging. Subsequent simulations of representative MINFLUX localization procedures showed that trans-cis isomerization, and in particular photo-reduction of the fluorophores, can generate significant localization errors. These localization errors, however, could be suppressed by balanced redox buffers and repetitive excitation beam scans. Implementing these strategies, and replacing the slower, intrinsic switching of the fluorophores needed for the localization by transient binding of fluorophore-labelled DNA strands to complementary DNA strands attached to the targets (DNA-PAINT), we could for the first time demonstrate NIR-MINFLUX imaging with nanometer localization precision. This work presents an overall strategy, where fluorophore blinking characterization and subsequent simulations make it possible to design optimal sample and excitation conditions, opening for NIR-MINFLUX imaging, as well as for a broader use of fluorophores in MINFLUX and related SRM studies.</p> <p>Acknowledgements:</p> <p>This study was supported by the European Union's Horizon 2020 research and innovation program under grant agreement 101017180 (NanoVIB).</p> <p> </p> <p><strong>Files with raw data on which the manuscript is based are grouped into folders according to the figures/tables in the manuscript where the extracted results are presented. Additionally, software developed and used for the simulations are arranged into a separate folder. </strong></p> <p> </p>
One-Sensor P300 EEG and Blink EOG from OpenBCI Cyton Board
<p>Two different systems have been developed in this study. An EEG control system based on P300 EP and an EOG system based on eye blinks. Both developed systems, the objects that the user can interact with are presented on a laptop screen using a GUI. This stimulation program was designed and developed in Python employing the PsychoPy package. The GUI, composed by a 3×3 matrix containing nine images describing the objects and control functions to be executed by users. The first two rows correspond to home devices, such as TVs, digital house locks or electric lights, which have a state that can be switched (e.g., on/off or up/down) by selecting it with the HMI. The last row has three possible phone calls: the emergency call (i.e., an SOS number) and two favourite contacts in their phone-book.</p><p>Two stimulation paradigms were assessed for the experiments. For the first paradigm, each element of the matrix is intensified one by one. This intensification is randomly performed, but all the elements are intensified the same number of times. Therefore, they will have the same probability of being intensified, that is, 𝑝=1/9. Moreover, an element cannot be intensified two consecutive times..For the second paradigm, instead of element by element, each row and column of the matrix is intensified. This is also done randomly, and they are intensified the same number of times. Therefore, the probability of one element being intensified at any given time is 𝑝=2/6=1/3.</p><p> </p><p>EEG and EOG data have been recorded using the OpenBCI Cyton Board with a sampling frequency of 250Hz. For EEG recordings, since the objective is to detect the P300 potential, the electrode for the input channel was located in the Cz position. Conversely, for EOG recordings, the electrode was placed at Fp2 in order to detect activity related to eye blinks. Both recording modes shared reference and ground electrodes, placed at the right mastoid (RM) and the left earlobe (A1), respectively. </p><p>The participant group in our experiments included a total of nine volunteers who agreed to collaborate in this research. The participants indicated that they did not have hearing or visual impairments. Informed consents were obtained from all the participants in order to employ their data in our study. The experiments were carried out in a sound-attenuated room where the participants were invited to sit in a comfortable chair while focusing their attention on a 15.6-inch laptop screen where stimuli were presented. Recording sessions for each participant were divided into four independent experiments, one per each stimulation paradigm and recording mode that is: for the 1-by-1 paradigm with EEG signals, for the row/column paradigm with EEG signals, for the 1-by-1 paradigm with EOG signals and for the row/column paradigm with EOG data. Eight runs were recorded for each experiment.</p><p>Each subject recording is stored in one separate folder, named s[number_subject], e.g., for subject 1: folder s1. Inside each subject folder we will find 32 folders corresponding with each experiment. The structure of the name is the following: subject_controlSignal_paradigm_date, eg, s1P3001by1-12-11-2020_12-57-15. Inside each experiment folder we will find 3 files. </p><ul><li>ExInfo : Contains data related to the subject, channel, paradigm and also the target element of that experiment.</li><li>Raw-STIMS: Contains the stimuli presentation for that experiment. It is important to note that each specific stimuli is represented by a code. In the 1-by-1 paradigm these codes range from 101 to 109 and represent each of the elements of the 3x3 matrix, from the upper left corner to the bottom right corner. In the row-column paradigm these codes range from 101 to 106. Codes 101-103 represents the rows of the matrix from top to bottom. Codes 104-106 represent the columns of the matrix from left to right.</li><li>Raw-EEG: Contains the EEG data recorded from the Cyton board. </li></ul><p>For more details about the recordings and the data plase see the related paper of this study and also the associated code:</p><p><a href="https://www.mdpi.com/1424-8220/21/6/2220">Sensors | Free Full-Text | Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces (mdpi.com)</a></p><p><a href="https://github.com/franciscolaport/Proposals-and-Comparisons-from-One-Sensor-EEG-and-EOG-Human-Machine-Interfaces">franciscolaport/Proposals-and-Comparisons-from-One-Sensor-EEG-and-EOG-Human-Machine-Interfaces (github.com)</a></p>
Biexciton Blinking in CdSe-Based Quantum Dots
<p>Data and vector images for main-text figures of S.J.W. Vonk & F.T. Rabouw, Biexciton blinking in CdSe-Based quantum dots, <em>J. Phys. Chem. Lett.</em> <strong>14</strong>, 5353–5361 (2023).</p>
Photic Blink Reflex in People With Blepharospasm and Increased Blinking
ClinicalTrials.gov study NCT03263000. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Blinking and Yawning in Epilepsy: The Role of Dopamine
ClinicalTrials.gov study NCT01432821. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Spontaneous Eye Blinking in Disorders of Consciousness
ClinicalTrials.gov study NCT06323031. IPD Sharing: YES. Countries: 4. Publications: 3.
Eye Blink Response in Healthy Volunteers and Adults With Schizophrenia
ClinicalTrials.gov study NCT00001920. IPD Sharing: Not stated. Countries: 1. Publications: 3.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.