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16 results for “temporal segregation”
The role of temporal cues in voluntary stream segregation for cochlear implant users
<p>Data from "The role of temporal cues in voluntary stream segregation for cochlear implant users" (DOI: 10.1177/2331216518773226)</p> <p>List of variables:</p> <ul> <li>Subject: Listener's ID</li> <li>Electrode: Stimulation electrode.</li> <li>Rate: Stimulation pulse rate of the distractor stream. The target stream was always presented with a pulse rate of 300 pps.</li> <li>ABpairs: Number of AB duplets in the sequence.</li> <li>Hrate: Hit rate</li> <li>FArate: False alarm rate</li> <li>dprime: d' score</li> <li>d_se: Standard error of the d' score</li> <li>IOmodel: 1 for ideal observer model estimates and 0 for listener's d' scores</li> <li>control: 1 for the control (i.e. no distractor) condition</li> </ul> <p><strong>Note: In figure 3 from the paper, there is an error in the listeners' ID. Starting from the top panel, the correct IDs are: L1, L4, L5, L10, L6, L8 and L9. The IDs provided in the Data.txt file are correct.</strong></p>
Fig. 6 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil
Fig. 6. Least-square means and 95% confidence intervals from ANCOVA of the first three environmental factors from PCA. Different markers represent significantly different means as detected by planned contrasts with 5% significance level, first comparing lakes with any non-native species with those without them, and then comparing the two categories of lakes with non-natives (non-piscivores vs. piscivores).
Fig. 4 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil
Fig. 4. Scatterplot of species body size (mean standard length) vs. a relative index of native affinity to lakes containing piscivorous invaders (the proportion of biomass of a given native species in lakes with piscivorous invaders). The estimated regression line is also presented (Y = 0.044*X - 0.279; R2 = 0.443; p = 0.007). Species codes: ast = Astyanax sp.; aus = Australoheros facetus; cyp = Cyphocharax gilbert; cre = Crenicichla lacustris; geo = Geophagus brasiliensis; gym = Gymnotus gr. carapo; hop = Hoplias malabaricus; lep = Leporinus steindachneri; lor = Loricariidae (unidentified species); lyc = Lycengraulis sp.; moe = Moenkhausia doceana; oli = Oligosarcus solitarius; pac = Pachyurus adspersus; pro = Prochilodus vimboides; tra = Trachelyopterus striatulus.
Fig. 5 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil
Fig. 5. Least-square means and 95% confidence intervals from ANCOVA of mean individual size and temporal turnover as related to the three lake categories. Different markers represent significantly different means as detected by planned contrasts with 5% significance level, first comparing lakes with any non-native species with those without them, and then comparing the two categories of lakes with non-natives (non-piscivores vs. piscivores).
Fig. 2 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil
Fig. 2. Alpha (mean) and beta richness. a) Comparison among the temporal and spatial components of richness. b) Species richness for each lake. The alpha (mean) and beta richness were taken along the temporal component. Lake codes: No = Nova; Ca = Capim; Fe = Ferrugem; Cr = Crentes; Po = Poço Redondo; Ro = Romoalda; Ti = Timburé; Ag = Águas Claras; Pa = Palmeirinha; Ar = Ariranha. "Natives" represents lakes without non-native species; "Non-piscivores" represents lakes with non-piscivorous non-native species; "Piscivores" represents lakes with invasive piscivorous species.
The impact of exploiting spectro-temporal context in computational speech segregation
<p>The experimental data from the study:</p> <p>https://asa.scitation.org/doi/10.1121/1.5020273</p> <p>Group 1 contains results, masks and audio from the models of the 16 GMM component segregation system<br> Group 2 contains results, masks and audio from the models of the 64 GMM component segregation system</p> <p>There are three folders:</p> <p>Audio:<br> The CLUE sentences that were used for the listener study</p> <p>IBM = Ideal Binary Mask, UP = UnProcessed, EBM = Estimated Binary Mask. </p> <p>The IBM and UP are stored in one of the configuration folders (Front-end), that is:</p> <p>Audio\Group1\Front-end\icra_01_10sec_matched\UP<br> Audio\Group1\Front-end\icra_01_10sec_matched\IBM<br> Audio\Group1\Front-end\icra_01_10sec_matched\EBM</p> <p>Results:<br> The computed metrics for group 1 & 2 as well as Word Recognition Scores (WRSs) from the listener study</p> <p>BinaryMasks:</p> <p>a priori SNR masks, IBMs and EBMs from group 1 and 2.</p> <p><br> Developed with Matlab R2016a.</p>
Figure 3 from: Contreras-Díaz CA, Soria-Díaz L, Gómez-Ortiz Y, Carrera-Treviño R, Astudillo-Sánchez CC, Chacón-Hernández JC, Martínez-García LF (2021) Temporal and spatial segregation of top predators (Felidae) in a Mexican tropical Biosphere Reserve. Zoologia 38: 1-10. https://doi.org/10.3897/zoologia.38.e63231
Figure 3 Time overlap analysis of activity patterns between jaguar (Panthera onca) and puma (Puma concolor) in El Cielo Biosphere Reserve. Time overlap is shown by the shaded area. The solid line represents the activity pattern of jaguars and dashed line shows the activity pattern of pumas (∆4 = 0.77 is the result of the overlapping coefficient between jaguar and puma activity).
Figure 1 from: Contreras-Díaz CA, Soria-Díaz L, Gómez-Ortiz Y, Carrera-Treviño R, Astudillo-Sánchez CC, Chacón-Hernández JC, Martínez-García LF (2021) Temporal and spatial segregation of top predators (Felidae) in a Mexican tropical Biosphere Reserve. Zoologia 38: 1-10. https://doi.org/10.3897/zoologia.38.e63231
Figure 1 Geographical location of the El Cielo Biosphere Reserve in northeastern Mexico, with habitats and camera trap station locations.
Figure 4 from: Contreras-Díaz CA, Soria-Díaz L, Gómez-Ortiz Y, Carrera-Treviño R, Astudillo-Sánchez CC, Chacón-Hernández JC, Martínez-García LF (2021) Temporal and spatial segregation of top predators (Felidae) in a Mexican tropical Biosphere Reserve. Zoologia 38: 1-10. https://doi.org/10.3897/zoologia.38.e63231
Figure 4 Habitat selection by jaguars and pumas based on the Index of selectivity (Ei) in El Cielo Biosphere Reserve, Tamaulipas, Mexico. (DF) Deciduous forest, (SDF) semi-deciduous forest, (OF) oak forest, (OPF) oak-pine forest, (MCF) mountain cloud forest.
Figure 2 from: Contreras-Díaz CA, Soria-Díaz L, Gómez-Ortiz Y, Carrera-Treviño R, Astudillo-Sánchez CC, Chacón-Hernández JC, Martínez-García LF (2021) Temporal and spatial segregation of top predators (Felidae) in a Mexican tropical Biosphere Reserve. Zoologia 38: 1-10. https://doi.org/10.3897/zoologia.38.e63231
Figure 2 Circular histograms of activity patterns for jaguar (Panthera onca) and puma (Puma concolor) in El Cielo Biosphere Reserve, Tamaulipas, Mexico. Each bar is a discrete 1-hour time interval and is centered on the hour. The dependent variable (inner circles) is number of times jaguars or pumas appeared in photographs at each time interval.
Fig. 1 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil
Fig. 1. Study region, indicating the ten sampled lakes. The lakes Capim (Ca), Ferrugem (Fe) and Nova (No) have only native fish species, lakes Crentes (Cr), Poço Redondo (Po), Romoalda (Ro), and Timburé (Ti) have non-piscivorous non-native fish species present, and lakes Águas Claras (Ag), Ariranha (Ar), and Palmeirinha (Pa) have non-native piscivores present.
Data from: Concurrent temporal channels for auditory processing: oscillatory neural entrainment reveals segregation of function at different scales
Natural sounds convey perceptually relevant information over multiple timescales, and the necessary extraction of multi-timescale information requires the auditory system to work over distinct ranges. The simplest hypothesis suggests that temporal modulations are encoded in an equivalent manner within a reasonable intermediate range. We show that the human auditory system selectively and preferentially tracks acoustic dynamics concurrently at 2 timescales corresponding to the neurophysiological theta band (4–7 Hz) and gamma band ranges (31–45 Hz) but, contrary to expectation, not at the timescale corresponding to alpha (8–12 Hz), which has also been found to be related to auditory perception. Listeners heard synthetic acoustic stimuli with temporally modulated structures at 3 timescales (approximately 190-, approximately 100-, and approximately 30-ms modulation periods) and identified the stimuli while undergoing magnetoencephalography recording. There was strong intertrial phase coherence in the theta band for stimuli of all modulation rates and in the gamma band for stimuli with corresponding modulation rates. The alpha band did not respond in a similar manner. Classification analyses also revealed that oscillatory phase reliably tracked temporal dynamics but not equivalently across rates. Finally, mutual information analyses quantifying the relation between phase and cochlear-scaled correlations also showed preferential processing in 2 distinct regimes, with the alpha range again yielding different patterns. The results support the hypothesis that the human auditory system employs (at least) a 2-timescale processing mode, in which lower and higher perceptual sampling scales are segregated by an intermediate temporal regime in the alpha band that likely reflects different underlying computations.
Data from: Concurrent temporal channels for auditory processing: oscillatory neural entrainment reveals segregation of function at different scales
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G9a regulates temporal preimplantation developmental program and lineage segregation in blastocyst
GEO Series GSE106790. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
Combinatorial action of temporally-segregated transcription factors
GEO Series GSE155392. Caenorhabditis elegans. 38 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Retinoic acid, an essential component of the RP organizer, promotes the spatio-temporal segregation of dorsal neural fates
GEO Series GSE261603. Coturnix japonica. 2 samples. Type: Expression profiling by high throughput sequencing.
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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)
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DANDI Archive for NWB datasets
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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.
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