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16 results for “Memory Traces”
Correcting False Memories: The Effect of Mnemonic Generalization on Original Memory Traces
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The entorhinal cortex modulates trace fear memory formation and neuroplasticity in the lateral amygdala via cholecystokinin
<p>Although the neural circuitry underlying fear memory formation is important in fear-related mental disorders, it is incompletely understood. Here, we utilized trace fear conditioning to study the formation of trace fear memory. We identified the entorhinal cortex (EC) as a critical component of sensory signaling to the amygdala. Moreover, we used the loss of function and rescue experiments to demonstrate that release of the neuropeptide cholecystokinin (CCK) from the EC is required for trace fear memory formation. We discovered that CCK-positive neurons extend from the EC to the lateral nuclei of the amygdala (LA), and inhibition of CCK-dependent signaling in the EC prevented long-term potentiation of sensory signals to the LA and formation of trace fear memory. Altogether, we suggest a model where sensory stimuli trigger the release of CCK from EC neurons, which potentiates sensory signals to the LA, ultimately influencing neural plasticity and trace fear memory formation.</p>
The entorhinal cortex modulates trace fear memory formation and neuroplasticity in the lateral amygdala via cholecystokinin
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Memory Traces for the CXL-flash Simulator
<p>This dataset contains memory trace files (*.trace) for various synthetic workloads and real-world workloads.</p> <p>We utilize <a href="https://github.com/dgist-datalab/trace_generator.git">Trace Generator</a> to collect traces for these workloads and translate them into *.trace files</p> <p>We collected these traces on a machine with an Intel i7-9700 CPU and 32GB DDR4 DRAM Memory. The operating system utilized is Ubuntu 20.04.5 LTS with Linux Kernel 5.17.4.</p> <p>The real-world workloads include:</p> <ul> <li>BERT</li> <li>Page rank (GAPBS)</li> <li>Radiosity (Splash-3)</li> <li>XZ (Spec CPU)</li> <li>YCSB F</li> </ul> <p>Users can find the source codes of the real-world workloads from their original code bases.</p>
Interfering with a memory without erasing its trace
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Memory tracing, profiling and autotuning for containerised cloud functions
<p>This dataset contains CSV files with the raw measurements of 4x10 traces as well as scripts and reference data for distinguishing two usage profiles based on raw measurements of 2x20 traces. It accompanies the publication «Resource Management for Cloud Functions with Memory Tracing, Profiling and Autotuning» presented at WoSC6 @ Middleware 2020.</p>
Moca: An efficient Memory trace collection system, preliminary experiments results analysis
<p>Every files required to replay the statistic analysis of the preliminary experiments for the artice: "Moca: An efficient Memory trace collection system" submitted at HPDC</p>
Moca: An efficient Memory trace collection system, experiments raw traces
<p>Raw traces generated for preliminary experiment of the article "Moca: An efficient Memory trace collection system" submitted at HPDC'16.</p> <p> </p> <p>Download and extract the raw.tgz archive, then go to the hpdc directory, download and extract all the other archives inside it.</p> <p> </p> <p><strong>Warning:</strong> there are about 80 Gib of raw traces</p>
Moca: An efficient Memory trace collection system, experiments raw traces
<p>Raw traces generated for by the experiment of the article "Moca: An efficient Memory trace collection system" submitted at PMBS'16.</p> <p>Download and extract the raw.tgz archive, then go to the created directory, download and extract all the other archives inside it.</p> <p><strong>Warning:</strong> there are about 90 Gib of raw traces</p>
Moca: An efficient Memory trace collection system, experiments results analysis
<p>Every files required to replay the statistic analysis of the experiments presented in the artice: "Moca: An efficient Memory trace collection system" submitted at PMBS'16</p>
Data from: Disruption of memory reconsolidation erases a fear memory trace in the human amygdala: An 18-month follow-up
Fear memories can be attenuated by reactivation followed by disrupted reconsolidation. Using functional magnetic resonance imaging we recently showed that reactivation and reconsolidation of a conditioned fear memory trace in the basolateral amygdala predicts subsequent fear expression over two days, while reactivation followed by disrupted reconsolidation abolishes the memory trace and suppresses fear. In this follow-up study we demonstrate that the behavioral effect persists over 18 months reflected in superior reacquisition after undisrupted, as compared to disrupted reconsolidation, and that neural activity in the basolateral amygdala representing the initial fear memory predicts return of fear. We conclude that disrupting reconsolidation have long lasting behavioral effects and may permanently erase an amygdala-dependent fear memory.
Data from: SK2 channels in cerebellar Purkinje cells contribute to excitability modulation in motor learning-specific memory traces
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Data from: Disruption of memory reconsolidation erases a fear memory trace in the human amygdala: An 18-month follow-up
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RNA-sequencing of lineage-traced memory Th2 cells after Heligmosomoidese polygyrus bakeri infection: IL-5 vs. IL-13
GEO Series GSE314225. Mus musculus. 23 samples. Type: Expression profiling by high throughput sequencing.
The astrocytic ensemble is a multiday eligibility trace stabilizing memory
GEO Series GSE272414. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Single-cell transcriptomic phenotyping combined with lineage tracing using paired B cell receptor repertoires identified both persistent antibody-secreting cell as well as memory B cell subsets after
GEO Series GSE149133. Homo sapiens. 4 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)
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.