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824 results for “Discrimination”
Discretized representations in V1 predict suboptimal orientation discrimination
<p>Calcium Imaging datasets and code for the paper titled "Discretized representations in V1 predict suboptimal orientation discrimination".</p> <p>This description has 3 sections:</p> <ol> <li>Data tables description</li> <li>Query example</li> <li>Code description</li> </ol> <h1><strong>1. Data tables description</strong></h1> <p>The data is presented in CSV files that were exported from a SQL database. There are 3 datasets: Trained, Audiovisual and Naive. The archive contains 11 tables, 3 for each dataset used in the study (Trial, Cell and Cell_Trial tables) and 2 containing quartile information about the locomotion and pupil area for the second dataset. </p> <p>The content of the tables is as follows:</p> <p>Trial_Table contains all information about the individual trials and the tracked behavioral variables. The columns are as follows:<br><br></p> <ol> <li> <p>Trial - the trial number<br><br></p> </li> <li> <p>Experiment - the recording session identifier <br><br></p> </li> <li> <p>Behav_Cond - the protocol identifier or recording day<br><br></p> </li> <li> <p>Block - block identifier (task or tuning curve)<br><br></p> </li> <li> <p>Visual_Stim - the orientation in degrees of the visual stimulus <br><br></p> </li> <li> <p>Auditory_Stim - the type of auditory stimulus (1 = 5KHz, 2 = 10KHz, other = no stim)<br><br></p> </li> <li> <p>Contrast - the contrast of the visual stimulus <br><br></p> </li> <li> <p>Response - the mouse’s response (0 = no lick, 1 = lick)<br><br></p> </li> <li> <p>Outcome - the outcome of the trial (Hit, Miss, FA, CR)<br><br></p> </li> <li> <p>Lick_trace* - a blob containing the licking time series <br><br></p> </li> <li> <p>Lick_Trial - same as trace but only during stimulus presentation<br><br></p> </li> <li> <p>Lick_dt - the sampling period of the licking recording <br><br></p> </li> <li> <p>Locomotion_trace* - the mouse’s locomotion for this trial <br><br></p> </li> <li> <p>Locomotion_mean_01 - the average locomotion during the first second of stimulus presentation <br><br></p> </li> <li> <p>Pupil_Area_trace - pupil area during the trial <br><br></p> </li> <li> <p>Pupil_Area_mean_01 - pupil area average during the first second of stimulus presentation <br><br></p> </li> <li> <p>Pupil_Position_trace - pupil position during the trial <br><br></p> </li> <li> <p>Pupil_Position_meanX - pupil position average on the horizontal axis during stimulus presentation <br><br></p> </li> <li> <p>Pupil_Position_meanY - pupil position average on the vertical axis during stimulus presentation <br><br></p> </li> <li> <p>Inclusion*** - Whether the trial is included or not (due to some signal issues, some trials can be unusable)<br><br></p> </li> </ol> <p> </p> <p>Cell_Table contains all information about the segmented cells. The columns are as follows: <br><br></p> <ol> <li> <p>Cell - Cell identifier<br><br></p> </li> <li> <p>Experiment - Recording session identifier<br><br></p> </li> <li> <p>Zscore - Zscored response average during stimulus presentation<br><br></p> </li> <li> <p>DeconvA_Tau - Fitted deconvolution parameters (amplitude and decay time)<br><br></p> </li> <li> <p>nSpikeTC - Number of deconvoluted action potential related events (APrEs) during the tuning curve block <br><br></p> </li> <li> <p>DeconvCorr - Correlation coefficient between dF/F trace and convoluted APrEs trace <br><br></p> </li> <li> <p>Tuning_Curve_spikes_x**** - cell tuning curve fit from APrE data, encoded in bytes (see *)<br><br></p> </li> <li> <p>Best_Fit_spikes_x - The type of fit that was selected <br><br></p> </li> <li> <p>Pref_Orientation_spikes_x - The preferred orientation of the cell <br><br></p> </li> <li> <p>Tuning_Width_spikes_x - The tuning width (at half max)<br><br></p> </li> <li> <p>DSI_spikes_x - Direction selectivity index <br><br></p> </li> <li> <p>OSI_spikes_x - Orientation selectivity index<br><br></p> </li> <li> <p>All following columns are same than 7 to 12 but using either the mean dF/F or the AUC during stimulus presentation<br><br></p> </li> <li> <p>isCell** - the cell probability statistic from suite2p<br><br></p> </li> <li> <p>nPix** - the number of pixels in the segment <br><br></p> </li> <li> <p>spikeProb_TCtrials - the probability of having at least one APrE for the orientation closest to the preferred orientation in the tuning block <br><br></p> </li> <li> <p>Roundness** - the roundness of the segment (see paper)<br><br></p> </li> <li> <p>Radius** - radius in pixels of the segment <br><br></p> </li> <li> <p>magFactor** - the number of microns per pixel</p> </li> <li> <p>weightPO** - the preferred orientation (orientation of the average weight vector) derived from the SNN</p> </li> <li> <p>weightNorm** - the norm of the average weight vector<br><br></p> </li> </ol> <p> </p> <p>Cell_Trial_Table contains information about the cells’ activity during each trial. Columns are as follows:<br><br></p> <ol> <li> <p>Experiment - recording session identifier<br><br></p> </li> <li> <p>Trial - Trial number <br><br></p> </li> <li> <p>Cell - Cell identifier<br><br></p> </li> <li> <p>Trace* - dF/F trace <br><br></p> </li> <li> <p>TraceSpikes* - deconvolved APrE trace <br><br></p> </li> <li> <p>nSpikes - Number of APrEs during stim presentation <br><br></p> </li> <li> <p>Mean_dFoF - Mean dF/F during stim presentation <br><br></p> </li> <li> <p>AuC_dFoF - AuC of dF/F during stim presentation </p> </li> </ol> <p><br><br></p> <p>Locomotion and Pupil (only in the audiovisual dataset) contain the average locomotion or pupil value during the first second of stimulus presentation (Loc01mean/Pupil01mean) and the corresponding quartile (QuartMean) for every trial identified with Experiment and Trial. <br><br></p> <p> </p> <p>*All traces contain time points from -3 to +6s around the stimulus, they are encoded in bytes and can be unpacked using the getArrayFromByteStream matlab function </p> <p>** this column is specific to the trained and naive</p> <p>*** this column is specific to the audiovisual dataset </p> <p>**** x can be 1 or 2, if 2 has data it contains the tuning block recorded before the task. If no number is specified in the column title, then the tuning block was recorded after the task </p> <p><em>In the audiovisual dataset, the following sessions were not included in the calcium imaging analysis </em></p> <p><em> {'Ang001_0512','Ani5_111918','Ang003_0513','Ani2_092618','Ani4_111918','Ani1_092718','Ang002_0515','Ang003_0515','Ang004_0515','Ang001_0516','Ang002_0516' ,'Ang005_0516' }</em></p> <p> </p> <p>—--------------------------------------------------------------------------------------------------------------------------------------------------------</p> <h1><strong>2. Query example</strong></h1> <p>Example of a query used to download data using the criteria used in the article :</p> <p><code>SELECT ct.Experiment, ct.Cell, ctt.Trial,tt.Behav_Cond, tt.Visual_Stim, ctt.TraceSpikes, ctt.Trace, ct.Pref_Orientation_spikes_2, ct.Tuning_Curve_spikes_2, ct.Best_Fit_spikes_2, ct.spikeProb_TCTrials</code></p> <p><code>FROM Cell_Trial_Table as ctt </code></p> <p><code>INNER JOIN Trial_Table as tt ON ctt.Experiment = tt.Experiment AND ctt.Trial = tt.Trial </code></p> <p><code>INNER JOIN Cell_Table as ct ON ctt.Experiment = ct.Experiment AND ctt.Cell = ct.Cell </code></p> <p><code>WHERE tt.Behav_Cond = ''D1'' </code></p> <p><code>AND tt.Block = ''Orientation Tuning'' </code></p> <p><code>AND ct.Pref_Orientation_spikes_2 IS NOT NULL </code></p> <p><code>AND ct.DeconvCorr > 0.8 </code></p> <p><code>AND ct.isCell > 0.8 </code></p> <p><code>AND ct.spikeProb_TCTrials > 0.1</code></p> <p><code>AND ct.roundness > 0.2</code></p> <p><code>AND ct.nPix*ct.magFactor > 15 </code></p> <p> </p> <p> </p> <p>—--------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <h1><strong>3. Code description</strong></h1> <p>We provide the scripts allowing to analyze the data and plot the figures of the paper. The "Main" scripts folder contains the scripts generating the figures, the "Dependencies" folder contains the necessary custon functions to run the main scripts, and the "DataFiles" folder contain matfiles containing data pulled from the database in order to generate a specific plot.</p> <p>All plots are indexed in the “Index” pdf file, along with the file name of the script generating the given plot from the database, and if applicable, a data file corresponding to the corresponding data pulled from the database, allowing to bypass querying the necessary data.</p> <p> </p> <p><br><br><br><br></p> <p> </p> <p> </p>
Reduction of Inappropriate Shocks of Implantable Cardioverter Defibrillators (ICDs) With Enhanced SVT Discriminators
ClinicalTrials.gov study NCT01963286. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Direct Discrimination of Quantum States by the Human Eye
ClinicalTrials.gov study NCT05913063. IPD Sharing: YES. Countries: 1. Publications: 0.
Improved Discrimination Of Central And Obstructive Apnoeas In Infants
ClinicalTrials.gov study NCT04234074. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Drug Discrimination in Methadone-Maintained Humans Study 3
ClinicalTrials.gov study NCT01068847. IPD Sharing: Not stated. Countries: 1. Publications: 0.
PET / CT With 18F-FDG: Does it Optimize the I 123-MIBG Imaging Results in the Search for Discriminating Factors for the Implementation of an Implantable Defibrillator?
ClinicalTrials.gov study NCT01258283. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Forms of Racial Discrimination Study
ClinicalTrials.gov study NCT03720600. IPD Sharing: YES. Countries: 1. Publications: 0.
Manual Therapy as a Form of Sensory Discrimination in Chronic Low Back Pain
ClinicalTrials.gov study NCT02757378. IPD Sharing: NO. Countries: 1. Publications: 0.
Reducing Racism and Discrimination in Schools: Comprehensive Prevention Services
ClinicalTrials.gov study NCT05189769. IPD Sharing: NO. Countries: 1. Publications: 0.
Marijuana Drug Discrimination and Self-Administration
ClinicalTrials.gov study NCT00943930. IPD Sharing: Not stated. Countries: 1. Publications: 0.
NoL Monitor Performances of Nociceptive and Non-nociceptive Stimuli Discrimination During Robotic Surgery
ClinicalTrials.gov study NCT04566536. IPD Sharing: NO. Countries: 1. Publications: 0.
Addressing Discrimination and Mistrust Among Black Men: Phase III
ClinicalTrials.gov study NCT02223130. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Gender Discrimination Against Female Surgeons A Study in a Lower-Middle-Income Country
ClinicalTrials.gov study NCT04395313. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of the Discriminative Abilities of Biomarkers for the Diagnosis of Acute Mesenteric Ischemia Compared With Another Similar Clinical Presentation: a Pilot Study
ClinicalTrials.gov study NCT06869564. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment of Cortical Bone Mechanics Technology (CBMT) Fracture Discrimination Capability
ClinicalTrials.gov study NCT05721898. IPD Sharing: NO. Countries: 1. Publications: 0.
Use of an In Vivo Optical Probe to Discriminate Benign From Malignant Thyroid Nodules
ClinicalTrials.gov study NCT01401855. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Diagnostic Accuracy of Matrix Metalloproteinase-8 Test for the Discrimination of Periodontal Health and Disease
ClinicalTrials.gov study NCT05099731. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Speech in Noise Discrimination Skills in Multiple Sclerosis Patients.
ClinicalTrials.gov study NCT06381297. IPD Sharing: NO. Countries: 1. Publications: 0.
Development of Novel MRI Methods for Detecting, Discriminating, and Measuring Liver Fibrosis and Congestion in Fontan Patients
ClinicalTrials.gov study NCT03539757. IPD Sharing: NO. Countries: 1. Publications: 0.
Improving the Organizational Social Context to Address Structural Racism and Discrimination
ClinicalTrials.gov study NCT06462807. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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