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55 results for “Temporal Processing”
Distribution. SW Brazil, known only from two sites, the type locality in Rondonia and Juruena (Mato Grosso State)Descriptive notes Head-body ¢.230 mm, tail ¢.80 mm. No specific data are available for body weight. Rondon's Tuco-tuco is medium-sized. Dorsal hairs are pale at bases and sepia at tips. Head and venterare slightly rufous, and tail is uniform brown. Skull is robust and depressed. Inter-maxillaries are also robust, with lateral protruding expansion; maxillaries are narrow; and mandible is strong and wide. Supraorbital process protrudes, and traverse occipital-temporal crest is straight. Bullae are inflated. in Ctenomyidae
Distribution. SW Brazil, known only from two sites, the type locality in Rondonia and Juruena (Mato Grosso State)Descriptive notes Head-body ¢.230 mm, tail ¢.80 mm. No specific data are available for body weight. Rondon's Tuco-tuco is medium-sized. Dorsal hairs are pale at bases and sepia at tips. Head and venterare slightly rufous, and tail is uniform brown. Skull is robust and depressed. Inter-maxillaries are also robust, with lateral protruding expansion; maxillaries are narrow; and mandible is strong and wide. Supraorbital process protrudes, and traverse occipital-temporal crest is straight. Bullae are inflated.
Action-based predictions affect visual perception, neural processing, and pupil size, regardless of temporal predictability
<p>Data supporting the findings in:</p> <p>Lubinus, C., Einhäuser, W., Schiller, F., Kircher, T., Straube, B., & van Kemenade, B. M. (2022). Action-based predictions affect visual perception, neural processing, and pupil size, regardless of temporal predictability. <em><strong>NeuroImage</strong>. DOI: XXX</em></p> <p>Details are specified in the readme file.</p>
Boundary Data set : Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features
<p>Boundary data set used to evaluate the continuity predictions for different models in boundary zones. It is composed of labelled and unlabelled pixels for a boundary size of 100m and 200m.</p> <p>For further details see section VI-A-1 of the pre-print article "Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features ". This article is available <a href="https://hal.archives-ouvertes.fr/hal-03781332">here</a>.</p> <p>To compute the predictions in the boundary zones with different models (GP, RF, MLP, LTAE), the code is available in the <a href="https://gitlab.cesbio.omp.eu/belletv/land_cover_southfrance_gp">open source repository</a>.</p>
Modeling Compliance Specifications in Linear Temporal Logic, Event Processing Language and Property Specification Patterns
<p>Experimental material & data</p>
Data of Sedimentation process of ashfall during a Vulcanian eruption as revealed by high-temporal-resolution grain size analysis and high-speed camera imaging
<p>Data of ash falling rate, grain size analysis of ash deposit, and high-speed camera imaging of airborne ash particles used in "Sedimentation process of ashfall during a Vulcanian eruption as revealed by high-temporal-resolution grain size analysis and high-speed camera imaging". </p>
Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study
<p><strong>Dataset for the publication: 'Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study'<br> Rigoni et al. 2023, Clinical Neurophysiology, doi: </strong><a href="https://doi.org/10.1016/j.clinph.2023.05.012">https://doi.org/10.1016/j.clinph.2023.05.012</a></p> <p><strong>Dataset description</strong></p> <p><em>func_data.mat</em> : source-reconstructed EEG traces stored in a Fieldtrip format (data for each subj)</p> <p><em>struct_data</em>: consensus structural connectome</p> <p><em>ROIpatch </em>: mesh used to plot Fig4</p> <p><em>SC_surrogates (W0)</em>: 1000 degree-preserving surrogates of the structural connectome computed with the null_model_und_sign function of the Brani Connectivity Toolbox; W0 are used for broadcasting analyses, section 2.6.2</p> <p><em>SC_surrogates_harmonics (U0)</em> : network harmonics of the surrogate structural connectomes (W0); U0 are used for broadcasting analyses, section 2.6.2<br> <em>BD_surr </em>: Broadcasting-direction (BD) of the degree-preserving surrogates of the structural connectome W0; used to produce FigS3 (data for each subj)</p> <p><em>PHI </em>: matrix of +1/-1 to generate the functional surrogates used to define significance of SDI, as described in section 2.6.3</p> <p><em>data_GSP2_surr </em>: SDI of the functional surrogates used to define significance of SDI, as described in section 2.6.3 (data for each subj)</p> <p> </p> <p>Abbreviations:</p> <p>EEG= electroencephalography;</p> <p>SDI= structure-decoupling index</p>
Auditory Temporal Processes in Aging
ClinicalTrials.gov study NCT03468660. IPD Sharing: NO. Countries: 1. Publications: 11.
Data from: Scaling of processes shaping the clonal dynamics and genetic mosaic of seagrasses through temporal genetic monitoring
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Data from: Evaluating the sensitivity of process domains for logjams to spatial and temporal sample size in river networks of the Southern Rockies, USA
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Data from: Heterogeneous genetic makeup of the Japanese house mouse (Mus musculus) created by multiple independent introductions and spatio-temporally diverse hybridization processes
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Data from: Comparison of spatial and temporal genetic differentiation in a harmful dinoflagellate species emphasises impact of local processes
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Mean survival rate and their temporal environmental (process) variance for 89 species of vertebrates
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Data from: Awake fMRI reveals a specialized region in dog temporal cortex for face processing
Recent behavioral evidence suggests that dogs, like humans and monkeys, are capable of visual face recognition. But do dogs also exhibit specialized cortical face regions similar to humans and monkeys? Using functional magnetic resonance imaging (fMRI) in six dogs trained to remain motionless during scanning without restraint or sedation, we found a region in the canine temporal lobe that responded significantly more to movies of human faces than to movies of everyday objects. Next, using a new stimulus set to investigate face selectivity in this predefined candidate dog face area, we found that this region responded similarly to images of human faces and dog faces, yet significantly more to both human and dog faces than to images of objects. Such face selectivity was not found in dog primary visual cortex. Taken together, these findings: (1) provide the first evidence for a face-selective region in the temporal cortex of dogs, which cannot be explained by simple low-level visual feature extraction; (2) reveal that neural machinery dedicated to face processing is not unique to primates; and (3) may help explain dogs' exquisite sensitivity to human social cues.
Data from: Dissociable temporal effects of bupropion on behavioural measures of emotional and reward processing in depression
Background: Antidepressants remediate negative biases in emotional processing early in treatment, prior to mood improvement. However, the effects on reward processing potentially relevant to the treatment of anhedonia are less clear. Here we investigate the early and sustained effects of the dopamine and noradrenaline reuptake inhibitor bupropion on behavioural measures of emotional and reward processing in currently depressed individuals. Methods: 46 currently depressed patients and 42 healthy controls participated in a repeated measures study, during which open-label bupropion was administered to only the patient group over a 6 week period without a placebo group. All participants completed the Emotional Test Battery and a probabilistic instrumental learning task at week 0, week 2 and week 6. Results: Currently depressed patients displayed negative biases in emotional processing and blunted response bias for high-probability wins compared to the healthy controls at baseline. Bupropion was found to reduce the negative biases in emotional processing early in treatment, including a significant decrease in the percentage misclassification of other face emotions as sad and the number of negative self-referent words falsely recalled between baseline and week 2. Conversely, bupropion was found to initially further reduce the response bias for high-probability wins between baseline and week 2. This effect reversed with 6 weeks bupropion treatment and reward processing was normalised compared to the healthy controls. Conclusions: Early in treatment, bupropion acts to reduce negative biases in emotional processing but exacerbates impaired reward processing. The beneficial actions of bupropion on reward processing then occur later in treatment. Such dissociation in the temporal effects of bupropion on emotional and reward processing has implications for the treatment of the different symptom domains of negative affect and anhedonia in depression.
On the Understandability of Temporal Properties Formalized in Linear Temporal Logic, Property Specification Patterns and Event Processing Language
<p>Experimental material & data</p>
Robot-induced hallucinations in Parkinson's disease depend on altered sensorimotor processing in fronto-temporal network
<p>Dataset of the fMRI study in healthy subjects from "Robot-induced hallucinations in Parkinson’s disease depend on altered sensorimotor processing in fronto-temporal network"</p> <p>It contains the fMRI data from the healthy subjects that performed the robotic stimulation task inducing the presence hallucination.</p>
Data from: Dissociable temporal effects of bupropion on behavioural measures of emotional and reward processing in depression
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Data from: Awake fMRI reveals a specialized region in dog temporal cortex for face processing
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High resolution temporal profiling of gene expression during Arabidopsis leaf development (senescence process)
GEO Series GSE22982. Arabidopsis thaliana. 22 samples. Type: Expression profiling by array.
"Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks": Dataset
<p>This repository contains the data accompanying the paper "<em>Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks</em>", by Francesco Regazzoni, Stefano Pagani, Matteo Salvador, Luca Dedè and Alfio Quarteroni.</p> <p> </p> <p>The associated codes are available in the Github repository <a href="https://github.com/FrancescoRegazzoni/LDNets">https://github.com/FrancescoRegazzoni/LDNets</a></p>
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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)
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.