21 results about "Spatial memory" patented technology

The invention belongs to the technical field of mouse neuroscience research, and relates to a multi-modal mouse virtual reality and nerve recording integrated system based on skull anchoring, which comprises a skull anchoring basic support, a binocular miniature VR display module, a multi-modal fixed expansion frame and a behavior and power supply platform. According to the invention, the skull screw is used as a unique space reference, accurate limiting of the head is realized through rapid butt joint of the MMA and the external fixing rod, and rapid plugging and coordinate multiplexing of equipment for two-photon imaging, optical genetic stimulation and the like are realized in combination with an M2 anchoring hole preset in the MMA; the total mass of the whole machine is strictly controlled within 3.2 g; the optical system provides panoramic visual stimulation with a horizontal field angle of 140 degrees, completely covers a key binocular vision area on the top of the mouse head, and supports high-order cognitive task paradigms such as complex ecological visual navigation, spatial memory and social interaction.

The invention discloses armillariella mycelium polysaccharide ATMP capable of improving cognitive impairment and a preparation method and application of the armillariella mycelium polysaccharide ATMP. The polysaccharide is composed of two components, and the molecular weights of the two components are 2.30 * 10 < 4 > Da and 4.56 * 10 < 5 > Da respectively; the monosaccharide composition comprises mannose (Man), glucose (Glc) and galactose (Gal), and the molar ratio of the mannose (Man) to the glucose (Glc) to the galactose (Gal) is 1: 16.64: 1.96. Animal experiment results show that the armillariella mycelium polysaccharide ATMP can improve cognitive impairment induced by lipopolysaccharide (LPS) by improving the spatial memory ability of mice, repairing the disorder state and deletion injury of neurons in a hippocampal region and relieving neuroinflammatory response, so that the obvious neuroprotective effect is achieved. As a natural brain-benefiting active component, the armillariella tabescens mycelium polysaccharide ATMP has a wide application prospect in the related fields of brain health.

The invention particularly relates to an unknown environment zero sample object target navigation method based on common sense reasoning, which comprises the following steps of: firstly, extracting a scene semantic tag by utilizing a pre-trained open vocabulary target detection model, and constructing a global spatial memory map to realize spatial representation and memory; and meanwhile, extracting global context information in the global spatial memory map based on a large language model so as to infer the position of a target object in an unknown area, and finally outputting a robot navigation action through path planning until the robot finds the target object. According to the method, the robot can adapt to a new object and a new environment without additional training, and the robot can understand semantic information of a target object category in an unknown environment and find an instance of the target object category without seeing a specific instance of the target object, so that the target object category can be identified. The problems that an existing object target navigation method depends on a large amount of labeled training data for training, the sample efficiency is low, and the generalization ability is poor are solved.

The invention provides a composition for improving learning memory, spatial memory and / or cognitive functions and application thereof. The composition disclosed by the invention comprises DHA (docosahexaenoic acid) and galactose, and the mass ratio of the DHA to the galactose is 1: (8-260). The invention also provides a food containing the composition, and an application of the composition or the food in preparation of a product helpful for improving spatial memory, working memory and / or cognitive function.

In nerve diseases, cell dysfunction due to amyloid aggregate accumulation in nerve cells has attracted attention, but dysfunction of nerve axons responsible for neurotransmission is also considered to be one of the causes. However, no therapeutic agent that focuses on the repair and maintenance of nerve axons has been found. An object of the present invention is to provide a therapeutic agent that activates oligodendrocytes having a function of preserving nerve axons.SOLUTION: Transcriptome analysis with a psychotropic drug is carried out using an oligodendrocyte marker as an indicator, and it is found that the combined use of DPZ and NFN characteristically increases the expression of a transcriptional factor OLIG1 inducing the differentiation-maturation of the oligodendrocyte. Moreover, the drug concentration at this time was much lower than the expected clinical dose. The combined use of NFN and DPZ was observed to improve spatial memory in the mouse Y-maze test. The combination of NFN and DPZ can provide a novel treatment for cognitive and memory functions associated with neurological disorders.SELECTED DRAWING: None

The application provides a robot movement control method and a robot, wherein the method comprises: in response to the robot reaching a current waypoint corresponding to a current time step, acquiring image information and attitude information of the robot at the current waypoint; determining a current semantic point cloud according to the image information and the attitude information; determining environment memory topological information of the current time step according to the current waypoint and the current semantic point cloud; determining a next waypoint of the current waypoint according to the environment memory topological information, and controlling the robot to move to the next waypoint. The application can convert instantaneous observation into structured environment memory information through the binding of the waypoint, the semantic point cloud and the environment memory topological information, realize the continuous accumulation of long-term spatial structure knowledge, realize the online mapping of an unknown environment, solve the problems of spatial memory fragmentation and the lack of long-term structure knowledge accumulation in the prior art, and further improve the robustness and efficiency of navigation decision-making.

The application relates to the technical field of animal learning ability testing, in particular to a ring-shaped runway for detecting the space learning and memory ability of small animals, which comprises a ring-shaped bottom plate, an inner baffle is arranged on one side of the inner ring of the ring-shaped bottom plate, an outer baffle is arranged on one side of the outer ring of the ring-shaped bottom plate, an experimental area for placing experimental objects is arranged on the ring-shaped bottom plate, and a water drinking area for water drinking of research objects is arranged on the ring-shaped bottom plate. The application has the beneficial effect that in the behavioral study of animal space memory, the application can reduce the information interference suffered by the research objects and can truly reflect the space memory of the research objects under normal conditions.

The invention provides a work memory ability training method based on electroencephalogram neural feedback, a storage medium and equipment, and the method comprises the steps: obtaining electroencephalogram signal data of a tested object in a process of executing a training task, and obtaining task execution result data of the tested object, the training task at least comprising a digital memory breadth task and a spatial memory breadth task; extracting physiological features of the electroencephalogram signal data, and calculating a cognitive state index and a global cognitive ability index according to the physiological features and the task execution result data; the training task is adjusted according to the global cognitive ability index, and the tested object is trained again according to the adjusted training task; and when it is judged that at least one of the training times, the global cognitive ability index and the cognitive state index meets a preset training condition, generating a training report at least including the cognitive state index of the tested object during each training. The computing resource consumption, the training delay and the deployment cost in the multi-dimensional training of the working memory ability are reduced.

The invention provides a method for training the visual clue-dependent positioning reward capability of animals by using an animal behavior training and testing system, and the system realizes that one set of system covers multiple types of experiments through the opening and closing logic of an access door of an adjusting arm, the reward region reward putting rule and the free conversion of visual clues. A visual clue-reward association learning scene is constructed, and animals are guided to establish memory association between clues and reward positions. A three-stage visual clue navigation and memory ability testing method is established, the memory retention ability associated with clue rewards is evaluated in the association stage, the spatial memory ability is independently evaluated in the blank stage, and the regulation and control mechanism of visual clues on animal spatial memory is analyzed in the non-association stage.

The invention belongs to the field of biological medicines, and discloses application of a theabrownin extract in preparation of a product for improving cognitive impairment. The theabrownin extract can improve learning and memory ability and / or spatial memory ability, thereby improving cognitive impairment. The new application of the theabrownin extract is found, and it is verified that the theabrownin extract can be used as a medicine for preventing and treating cognitive impairment and particularly can be used for preparing a medicine for preventing and treating senile dementia. The pharmaceutical composition can be prepared into various dosage forms with proper pharmaceutic adjuvants, and is suitable for being developed into new drugs. The theabrownin is derived from tea and has safety, the theabrownin extract can be developed into functional food for daily eating or drinking, and the application range of the theabrownin extract is widened.

The application discloses a space-time memory task paradigm method combining time discrimination and space memory, and a space-time memory task device, which comprises a treadmill, an arc-shaped track and two connecting bottom plates, the two ends of the arc-shaped track are respectively fixed with one end of one connecting bottom plate, and the edges of the other ends of the two connecting bottom plates are respectively close to the two ends of the treadmill, so that the treadmill, the arc-shaped track and the two connecting bottom plates form a closed ring-shaped track, and rodents move on the track; and the arc-shaped track is provided with interval mark points, and the number of the mark points is 10. The space-time memory task device contacts the time length information with the accurate position information, simulates the complex situation that the scene memory time and the space information are combined, enhances the comprehensiveness of data analysis, and provides a feasible experimental paradigm for mechanism research related to the scene memory, and the influence of time reconstruction and dynamic interaction of brain function connection.

The invention provides a space intelligent dynamic environment modeling method and device and a medium, belongs to the technical field of space intelligence, can solve the problem of insufficient time consistency, and also can improve historical backtracking and future prediction capabilities. The method comprises the following steps: acquiring real-time environment data from a sensor, and preprocessing the real-time environment data; mapping the preprocessed real-time environment data to a learnable spatial memory unit, and realizing continuous modeling and long-term memory of a spatial state by using gradient propagation; updating the spatial memory unit according to the time sequence information; according to the time domain, historical environment data and future environment data are obtained in a bidirectional reasoning mode. The invention discloses a spatial intelligent dynamic environment modeling device and a computer storage medium.

Scene reconstruction is an image processing technique that creates a model of a scene from a given input, typically involving the creation of a three-dimensional (3D) scene model from one or more input two-dimensional (2D) images of the scene. High-quality scene reconstruction and rendering are useful for various applications, such as autonomous agent applications and scene editing applications. Existing scene reconstruction methods reach their limits with dynamic scenes where moving objects are inconsistent across different views at different times. These methods generally lack the motion cues essential for effective object-environment decomposition, which, moreover, leads to incomplete environment reconstruction of new views due to persistent occlusion of environmental structures.The present disclosure integrates spatial memories or a spatial memory from previous iterations of a scene when learning a representation of a temporally changing scene, thereby providing observations of obscured areas and contextual information for road users to enable more comprehensive and efficient learning of the scene representation.

The invention belongs to the field of probiotic functional food, and relates to lactobacillus gasseri BDUP and application thereof in improving or enhancing learning ability, multi-dimensional memory and / or attention. The Lactobacillus gasseri BDUP can promote nerve cells to secrete a plurality of neurotransmitters, can significantly improve short-term memory, long-term memory, spatial memory and other multi-dimensional memory-related behavior expressions in model organisms and normal adult mice, and also can up-regulate the expression levels of brain-derived neurotrophic factors and synaptic-related proteins in hippocampus tissues. After the BDUP is ingested, the learning efficiency, the attention level and the memory performance of student groups, adult mental workers and old people are remarkably improved. Through multi-level system verification of cells, model organisms, animals and people, the comprehensive enhancement effect of the lactobacillus gasseri BDUP on learning ability and multi-dimensional memory in a normal physiological state is comprehensively disclosed, and a new technical scheme is provided for development of cognitive support food.

The application discloses application of methyl palmitate in preparation of a medicine for treating and / or preventing senility and related cognitive impairment, and belongs to the technical field of biological medicine. The application proves by a cell experiment that methyl palmitate can significantly inhibit D-galactose-induced SH-SY5Y cell senility, and effectively reduce the expression level of senility-related proteins P53 and P16. The application proves by a behavior experiment that methyl palmitate can significantly improve the cognitive index of a senility model mouse, shorten an escape latency, and effectively improve learning ability reduction, spatial memory decline and cognitive function impairment caused by senility. In addition, methyl palmitate can significantly enhance the long-term potentiation effect of the hippocampal CA1 region of the senility model mouse, and reverse senility-related synaptic transmission damage. The application discloses the application of methyl palmitate in resisting neural senility and improving senility-related cognitive impairment, and provides a new candidate molecule for preparing a medicine for treating neurodegenerative diseases.

The invention relates to the technical field of smart home, in particular to a smart home AI control system. The system comprises an equipment initialization and environment perception module which adopts an improved ORB-SLAM3 algorithm to realize centimeter-level high-precision pose tracking and construct a spatial memory map; the triple interaction fusion module fuses high-precision eye movement tracking, micro-gesture recognition and intelligent voice, and obtains user intentions through dynamic weight adjustment; the scenarized control and execution module is used for constructing a state-action scenarized control matrix and executing an intelligent linkage decision based on a multi-factor scoring system; the self-adaptive rendering optimization module is used for reducing GPU load through action prediction and fixation point differential rendering; and the behavior reinforcement learning module continuously optimizes system response and service recommendation by using a hierarchical deep learning network and a deep Q network mechanism. According to the system, the interaction precision is remarkably improved, the equipment energy consumption is reduced, and active learning and self-adaption of the system are realized.

The invention discloses a visual language navigation method based on adaptive memory refinement and state action fine tuning, which comprises the following steps: collecting and marking expert path data, integrating an open source instruction and a path subset to extract an expert track, and forming an expert path training sample; constructing a navigation model framework comprising a self-adaptive memory refining module, screening an optimal frame through a multi-dimensional memory optimization equation, and forming and updating a memory bank; utilizing an expert path training sample to supervise and finely adjust the navigation model; a fine-grained correction data set based on a state-action pair is generated and screened by quantifying the deviation degree of an intelligent agent navigation state and an expert track and combining trust region constraints; and performing secondary fine tuning on the fine-tuned model by utilizing the fine-grained correction data set and combining with the multi-modal video-language question and answer data, endowing the model with an error correction capability, avoiding disastrous forgetting and realizing intelligent navigation. According to the method, the long-sight-distance spatial memory and reasoning capability of the model in a complex scene is enhanced.

The invention provides a children formula food capable of improving spatial memory, working memory and / or cognitive function and a preparation method and application thereof, the children formula food contains DHA and galactose, and the mass ratio of DHA to galactose is 1: (8-260); wherein the content of total protein is 7.8 g to 30 g / 100 g, the content of fat is 10 g to 35 g / 100 g, and the content of carbohydrate is 40 g to 79.3 g / 100 g on the basis of dry matter of the infant formula food. The children formula food disclosed by the invention is helpful for improving spatial memory, working memory and / or cognitive functions.

The invention discloses a memory attention network for traffic prediction in an intelligent traffic system, which captures potential features of an original sequence through a space-time embedding module, extracts trend and seasonal components from a historical sequence through a trend decomposition module, learns time dependence through a time causal convolution module, and finally, obtains the memory attention network for traffic prediction through the time causal convolution module. Spatial memory element attention encoders are designed to capture global spatio-temporal correlations between nodes, memory embedding is incorporated into the spatial memory element attention encoders to extract learnable components of traffic patterns for learning similar historical traffic patterns, and meta learners are used to cause meta-parameter pools to update parameters in the dynamic graph structure, such that the parameters in the dynamic graph structure are updated. Finally, all spatio-temporal information is integrated and used for prediction through a multi-layer perceptron, each module in the proposed memory attention network does not need a multi-layer stacked network, meanwhile, the overall linear calculation complexity is kept, and efficient traffic prediction can be achieved even in a multi-node and long-time-span environment.

This invention discloses the application of the Siegesbeckia orientalis composition in the preparation of drugs to improve cognitive impairment after heart failure (CHF). The composition consists of Astragalus membranaceus extract, Siegesbeckia orientalis extract, and Periploca sepium extract. Experiments have shown that the Siegesbeckia orientalis composition can significantly improve spatial memory and working memory in CHF rats, and improve cognitive function; it can significantly inhibit the release of tumor necrosis factor α and interleukin 1β in the hippocampus of CHF rats, and increase the release of interleukin 10 and brain-derived neurotrophic factor; it can significantly reduce the loss and damage of Nissl bodies in the brain tissue of CHF rats; and it can significantly improve the ultrastructure of neurons in the hippocampus of CHF rats, regulate synaptic plasticity, and promote the growth of dendrites and dendritic spines.

This invention relates to the field of biomedical technology, specifically to the application of L-methionine in the preparation of drugs for preventing and treating cognitive impairment in offspring. According to this invention, early intervention through maternal dietary supplementation with L-methionine following heavy metal exposure can provide long-term and comprehensive improvement in offspring's cognitive recognition, spatial memory, and adventurous exploration behaviors, without significantly affecting maternal cognitive behavior. This invention is the first to clearly define pregnancy as a critical window for L-methionine intervention in offspring cognitive impairment caused by heavy metal exposure, providing a safe, feasible, and scientifically based nutritional intervention strategy, and offering a new approach for related public health prevention and product development.