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ShareScore release 0.9.0
Dataset results
9 results for “Visual discrimination”
PsPM-TC: SCR, ECG, EMG and respiration measurements in a discriminant trace fear conditioning task with visual CS and electrical US.
<p>This dataset includes skin conductance response (SCR), electrocardiogram (ECG) and respiration measurements. Also included are CS and US information, keypress responses and keypress response times from 18 healthy unmedicated participants (8 males and 10 females aged 23.89+/-2.52 years) participating in a classical (Pavlovian) discriminant trace fear conditioning task. CS were a red and a blue rectangle presented for 3 seconds. US consisted of 0.5 s square electric pulses with 0.2 ms duration and 10 Hz frequency. SOA between the CS onset and US was 4 s. The ITI was randomly determined on each trial to be 7, 9, or 11 s.</p>
PsPM-FER01: PSR, SCR, ECG and respiration measurements from a discriminant delay fear conditioning task with visual CS and electrical US.
<p>This dataset includes pupil size response (PSR), skin conductance response (SCR), electrocardiogram (ECG) and respiration measurements. Also included are CS and US information and shock expectancy ratings at the end of the experiment for 30 healthy unmedicated participants (12 males and 18 females aged 23.9+/-4.4 years) participating in a classical (Pavlovian) discriminant delay fear conditioning task. Fear acquisition consisted of 10 CS- and 32 CS+ trials (16 CSa+/16 CSb+). Half of the CS+ trials were paired with an electric shock. CS were colored triangles (yellow/red/blue). US consisted of a 500 ms train of 250 square pulses with individual pulse width of 0.2 ms. SOA between the CS onset and US was 3.5 seconds. CS and US co-terminated. The ITI was randomly determined as discrete values between 7-11 seconds (mean 9 seconds).</p> <p> </p>
Supporting information for: Discrimination ability of central visual field testing using stimulus size I, II, and III and relationship with macular ganglion cell thickness in chiasmal compression
<p><strong>Purpose</strong><strong>: </strong>To compare the relationship between macular ganglion cell layer (mGCL) thickness and 10-2 visual field (VF) sensitivity using different stimulus sizes in patients with temporal hemianopia from chiasmal compression.</p> <p><strong>Methods:</strong><strong> </strong>A cross-sectional study was conducted involving 30 eyes from 25 patients with temporal VF loss on 24-2 SITA standard automated perimetry due to previous chiasmal compression and 30 healthy eyes (23 controls). Optical coherence tomography (OCT) of the macular area and 10-2 VF testing using Goldmann stimulus size I (GI), II (GII), and III (GIII) were performed in the Octopus 900 perimeter. For the sake of analysis, mGCL thickness and VF data were segregated into four quadrants (two temporal and two nasal) and two halves (temporal and nasal) centered on the fovea, and the groups were compared using generalized estimated equations. The discrimination ability of GI, GII, and GIII was evaluated, as was the correlation between mGCL and 10-2 VF sensitivity using GI, GII, and GIII. </p> <p><strong>Results:</strong><strong> </strong>All mGCL parameters were significantly reduced in patients compared to controls. 10-2 VF test sensitivity using GI, GII, and GIII was significantly lower in patients than in controls (p≤0.008) for all parameters, except the three nasal divisions when using GI (p=0.41, 0.07 and 0.18) Significant correlations were found between temporal VF sectors (all stimulus sizes) and the corresponding nasal mGCL measurements, with similar discrimination ability. Significant correlations were also observed between all three nasal VF divisions and the corresponding temporal mGCL thickness when using stimulus sizes I and II, but not stimulus size III.</p> <p><strong>Conclusions</strong><strong>:</strong> On 10-2 VF testing, GII outperformed GI and GIII with regard to discrimination ability and structure-function correlation with mGCL thickness in chiasmal compression. Our findings suggest that the use of GII can enhance the diagnostic power of 10-2 VF testing, although further studies are necessary to support this conclusion.</p>
Supporting information for: Discrimination ability of central visual field testing using stimulus size I, II, and III and relationship with macular ganglion cell thickness in chiasmal compression
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In vivo intracellular recording in the mouse V1 during passive visual stimulations and audiovisual discrimination task
<p>Whole cell recordings (Vm channel) performed in the layer 2/3 primary visual cortex (V1) of awake mice. Recordings are performed in current clamp (Im channel). A local ECoG was placed on the dura in the vincinity of the recorded neuron. Vistim channels indicate the orientation of the drifting grating (Vistim 1 frequency), contrast (Vistim 1 amplitude), temporal frequency (Vistim 2 frequency), and spatial frquency (Vistim 2 amplitude). The diode signal indicates the exact timing of the stimulus presentation. The two mouse channels (Mouse1 adn Mouse2) indicate the movement of the spherical treadmill on which the animal is standing. In the behavior database, the mice are performing a behavioral task (additional information can be found in those files: licking channel, auditory channel (one of two tones) reward (laser channel)). The script and the data are using an Igor Pro format. For converting the two mouse signals into locomotion, please refer to the script AnalysisMouseWaveProc.ipf or the functions imbeded in LoadExperiments 2013.ipf . Those data have been used for the article Einstein et al., 2017 (https://doi.org/10.1523/JNEUROSCI.3868-16.2017). The excel sheet provides additional information about the recording. If you want to open the ibw files directly in Matlab, use IBWread, m file</p> <p> </p>
The Influence of Amitriptyline on Learning in a Visual Discrimination Task
ClinicalTrials.gov study NCT01566825. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Ultraviolet and yellow reflectance but not fluorescence is important for visual discrimination of conspecifics by Heliconius erato
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Supplementary material 1 from: Grimm-Seyfarth A, Zarzycka A, Nitz T, Heynig L, Weissheimer N, Lampa S, Klenke R (2019) Performance of detection dogs and visual searches for scat detection and discrimination amongst related species with identical diets. Nature Conservation 37: 81-98. https://doi.org/10.3897/natureconservation.37.48208
: Data type: statistical data
Data from: Pharmacological inactivation does not support a unique causal role for intraparietal sulcus in the discrimination of visual number
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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.