6 results about "Working memory" patented technology

The invention discloses a dialogue data storage method based on a big language model and a related device, and relates to the field of data storage, and the method comprises the steps: calling a memory encoder to obtain dialogue data of a user and an agent, employing the big language model to carry out key information extraction operation on the dialogue data, and obtaining key information, carrying out integrity verification and rationality verification on the key information; if the verification is passed, carrying out importance evaluation on the key information to obtain an importance evaluation value; and respectively storing the key information in a long-term memory database, a short-term memory database or a working memory database according to the importance evaluation value. The purpose of reliable storage of the dialogue data is achieved based on the large language model.

The application discloses a kind of globally optimized supervised multimodal image fusion method, pre-processes each modality brain image data, and carries out feature extraction;The features of each modality obtained are pre-processed, and the feature matrix of each modality after pre-processing is obtained;The independence of the independent component of each modality obtained is calculated;Solve the optimal solution of the mixing matrix when the independence of the independent component of each modality, the correlation between the mixing matrix of each modality and the correlation between the mixing matrix of each modality and reference information are maximized.The global optimal solution is obtained by maximizing the independence of the independent component, and simultaneously maximizing the correlation square sum between the independent component and the reference information between the independent component of each modality, so as to obtain the global optimal solution.By introducing working memory score as reference information, the synergistic covariant component related to clinical index and relatively independent in space is identified specifically, so as to further dig the interaction between cognitive ability and multimodal neural image in mental illness.

This invention discloses a non-human primate visual-spatial working memory testing cage. This invention uses a non-human primate visual-spatial working memory testing cage to measure the learning, discrimination, and reversal abilities, or cognitive and memory abilities, of non-human primates, providing a more comprehensive evaluation of changes in animal brain function and behavior. It can provide a model evaluation tool for central nervous system diseases such as Alzheimer's disease and stroke, and offer new methods for disease research and new drug development.

The application provides a dynamic brain network attention fusion working memory capacity evaluation method and device, and belongs to the technical field of intelligent medical treatment. The method comprises the following steps: segmenting a BOLD signal time sequence in functional magnetic resonance imaging data, extracting time sequence data of a region of interest, and constructing a functional connection matrix; extracting and fusing spatial dependence and time fluctuation characteristics in the functional connection matrix based on an attention mechanism to obtain a full connection graph; using multi-head attention to cluster the full connection graph to obtain functional magnetic resonance imaging embedding representation of each subject; training a prediction network by using the functional magnetic resonance imaging embedding representation of the subject; and completing working memory evaluation of a target subject by using the trained prediction network. The application combines dynamic multi-graph fusion and neuroscientific prior knowledge, eliminates individual differences and specific noise by using contrast learning, realizes accurate evaluation of working memory capacity, and provides an objective basis for evaluation of cognitive function.

The invention provides a neuroprotective effect of DIRAS1 on Alzheimer's disease (AD), and belongs to the technical field of biological medicine. The invention provides application of a reagent for overexpressing a DIRAS1 gene in preparation of a medicine for preventing and / or treating AD by taking the DIRAS1 gene as a therapeutic target of AD. The treatment of a model mouse in the embodiment finds that the DIRAS1 gene is over-expressed in the brain of the AD mouse, and the cognitive function detection finds that the recognition memory, the working memory and the long-term spatial learning memory of the AD mouse can be remarkably improved; morphological and molecular biological detection finds that deposition of A beta and excessive phosphorylation of Tau protein are reduced, and Golgi staining and western blot detection finds that damage to a synaptic structure is reduced and expression of synaptic related protein is increased. Therefore, the cognitive function, pathological characteristics and synaptic plasticity of AD mice can be improved by a method of overexpressing the DIRAS1 gene.

Insomnia is a widespread health issue affecting cognitive abilities. Eurycoma Longifilia (EL), a Southeast Asian adaptogen herb known for its aphrodisiac use. This open-label clinical human trial examined EL's impact on treating insomnia looking at sleep, cognitive functioning, and psychological well-being. 46 healthy participants aged 21-41, with Insomnia Severity Index (ISI) score ≥8 took one 200mg EL extract capsule daily for 6 weeks and completed ≥ 90% of dosage. Assessments including ISI, Inquisit Stroop task, Digitspan, WHO-QOL were done at pre-intervention (T0), 3 weeks (T1), 6 weeks (T2), and 10 weeks (T3). Differences for assessments between each timepoints and T0 were assessed using Linear Mixed Model analysis with participants as a random effect. EL improved psychological well-being, sleep quality and consequently cognitive flexibility, working memory.