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66 results for “memory model”
Physical Unclonable In-Memory Computing for Simultaneous Protecting Private Data and Deep Learning Models
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Dataset for Can we predict kick force based solely on spatial-temporal variables? Applying long short-term memory model for predicting force values of turning and side kick of taekwon-do athletes
<p>This data set is created for a purpose of publication "<span>Can we predict kick force based solely on spatial-temporal variables? Applying long short-term memory model for predicting force values of turning and side kick of taekwon-do athletes". It contains of dataset of kicks and lstm models for predictions a force of kicks upon IMU data. Detailed description of file names are in readme file. Folders are divided into specific kicks - turning or side kick in sport or traditional versions.</span></p>
Dataset - Low-hysteresis shape-memory ceramics designed by multimode modelling
<p>Accompanying Dataset for the article "Low-hysteresis shape-memory ceramics designed by multimode modelling". The dataset contains two .csv files, one each for tetragonal and monoclinic phase, containing lattice parameter data used to train the ML models. Lattice parameters are in angstroms, compositions are in mole percent (cation site), temperatures are in degrees Celsius.</p>
Trained models for "Neural mechanisms of working memory accuracy revealed by recurrent neural networks"
<p>There are three trained models:</p> <p>1. data/6tasks_8loc_256neuron_odr3000_seed0: odr(3s delay ) task with 8 input units in a ring and 256 neurons</p> <p>2. data/6tasks_360loc_256neuron: odr(1.5s delay) task with 360 input units in a ring and 256 neurons</p> <p>3. odr_mix_uniform_00_30_01step_6tasks: odr(variable delay from 0 to 3s with 0.1s step) task with 8 input units in a ring and 256 neurons</p>
Neuroimmunological Model of Traumatic Memory
ClinicalTrials.gov study NCT00396695. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Data for: Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence
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Data from: Can collective memories shape fish distributions? A test, linking space-time occurrence models and population demographics
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Data from: Energy benefits and emergent space use patterns of an empirically parameterized model of memory-based patch selection
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Extending the Palladio Meta-Model to Support Memory Hierarchy
<p>This is a general overview of the gathered data.<br> The structure of the data is shown in FullDataProcessingPipeline.pdf</p> <p>Each step and folder contains its own readme.</p> <p>The steps 1 and 2 are combined because the python conversion script is dependent on multiple data sources of the previous steps.<br> Therefore, file paths are dependent on each other.<br> In the Step1and2 folder are also the outputs of "lscpu" and "perf list" for each server.</p> <p>The DataFlow in the diagram should also indicate in which step folder the required data can be found. </p> <p>In general, for all python scripts Python3(we used 3.8.3), pandas and NumPy are required.<br> <br> The project to create the parallelized matrix is located in the Palladio-modeling-memory-bandwidth-on96Cores.zip.<br> At the end of its Readme.MD a description on how to use the ./buildExperimentJars is described. </p>
Data from: Familiarity to a feed additive modulates its effects on brain responses in reward and memory regions in the pig model
Brain responses to feed flavors with or without a feed additive (FA) were investigated in piglets familiarized or not with this FA. Sixteen piglets were allocated to 2 dietary treatments from weaning until d 37: the naive group (NAI) received a standard control feed and the familiarized group (FAM) received the same feed added with a FA mainly made of orange extracts. Animals were subjected to a feed transition at d 16 post-weaning, and to 2-choice feeding tests at d 16 and d 23. Production traits of the piglets were assessed up to d 28 post-weaning. From d 26 onwards, animals underwent 2 brain imaging sessions (positron emission tomography of 18FDG) under anesthesia to investigate the brain activity triggered by the exposure to the flavors of the feed with (FA) or without (C) the FA. Images were analyzed with SPM8 and a region of interest (ROI)-based small volume correction (p < 0.05, k ≥ 25 voxels per cluster). The brain ROI were selected upon their role in sensory evaluation, cognition and reward, and included the prefrontal cortex, insular cortex, fusiform gyrus, limbic system and corpus striatum. The FAM animals showed a moderate preference for the novel post-transition FA feed compared to the C feed on d 16, i.e., day of the feed transition (67% of total feed intake). The presence or absence of the FA in the diet from weaning had no impact on body weight, average daily gain, and feed efficiency of the animals over the whole experimental period (p ≥ 0.10). Familiar feed flavors activated the prefrontal cortex. The amygdala, insular cortex, and prepyriform area were only activated in familiarized animals exposed to the FA feed flavor. The perception of FA feed flavor in the familiarized animals activated the dorsal striatum differently than the perception of the C feed flavor in naive animals. Our data demonstrated that the perception of FA in familiarized individuals induced different brain responses in regions involved in reward anticipation and/or perception processes than the familiar control feed flavor in naive animals. Chronic exposure to the FA might be necessary for positive hedonic effects, but familiarity only cannot explain them.
Circuit mechanism underlying fragmented sleep and memory deficits in 16p11.2 deletion mouse model of autism
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Artifact for the paper "Abstract Interpretation of LLVM with a Region-Based Memory Model"
<p>Contain all scripts necessary to reproduce the results (Table 1) in the paper.</p>
Models of Disordered Knowledge and Memory Systems in Dementia and Related Disorders
ClinicalTrials.gov study NCT00004557. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Data from: Familiarity to a feed additive modulates its effects on brain responses in reward and memory regions in the pig model
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Data from: Validation of a rodent model of source memory
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Cell type-specific dysregulation of ERK signaling impairs synaptic plasticity and memory in a mouse model of Noonan syndrome
GEO Series GSE104089. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Complement C3 released from neurotoxic reactive astrocytes impairs learning and memory in the mouse model of postoperative neurodegenerative disorders
GEO Series GSE199318. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Reinstating transcriptome plasticity and memory function in mouse models for cognitive decline
GEO Series GSE63945. Mus musculus. 112 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Expansion of an FCRL5+ B cell subset resembling atypical memory B cells in an animal model of malaria
GEO Series GSE85205. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Hydroxyurea protects hippocampal neurons against oxidative, metabolic and excitotoxic stress, and improves spatial memory in a mouse model of Alzheimer’s disease (Rat)
GEO Series GSE111941. Rattus norvegicus. 16 samples. Type: Expression profiling by array.
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.