35 results about "BrainMaps" patented technology

A system is disclosed that allows stereotaxic procedures being performed on lab animals to interact, on a “live” or “real-time” basis, with information that has been compiled in stereotaxic brain atlases. For example, during an invasive procedure, a researcher can see, on a cross-sectional brain map displayed on a full-sized computer monitor, the location and travel of an instrument tip, indicated by means such as a bright blinking cursor or icon. If desired, important brain structures (such as major nerve bundles) can been prominently labeled and / or colored, to clearly indicate their locations, and help the researcher ensure that they are avoided. This system can be provided by coupling a digital stereotaxic manipulator to a dedicated controller with touch-screen capability, and coupling the PLC processor to a computer having a monitor screen that is large enough to display a brain map with good resolution. Alternately, the digital stereotaxic manipulator can be coupled directly to a computer, via an interface card or other device.

The invention discloses a brain function registration method based on a graph model, and the method comprises the following steps: mapping high-dimensional brain function image data to a two-dimensional time sequence matrix by taking a brain function activity signal of a subject in a specific cognitive function state as input and taking a brain graph model as a basis; constructing a graph convolutional neural network model to distinguish different cognitive function states, and utilizing a meta analysis method to generate a brain activation distribution prior graph to assist in predicting a brain function activation mode of each subject specificity; combining the two sides to map brain function image data of each subject to a shared representation space suitable for a large-scale group, and finally achieving the accurate brain function alignment between individuals. According to the method, the effect dose of statistical test on a group can be enhanced, the number of tested samples required in brain cognitive function research is reduced, the clinical research cost is saved, and meanwhile, the graph representation information generated in the shared representation space can also be used for accurately predicting the tested brain function state and behavioral indexes.

The invention relates to a brain graph generation method and device and a computer readable storage medium. The method comprises: obtaining source data of a brain graph file when the brain graph filein a preset data format is operated by a code editor; analyzing node information of the brain graph corresponding to the source data according to the source data; and drawing a brain graph corresponding to the source data in the new page according to the node information. The problem that the code editor in the related technology cannot run the brain graph file is solved, the brain graph file is run in the code editor, and the use experience of the brain graph in the code editing and testing process is improved.

The invention discloses a method for automatically identifying an administrative non-complaint execution case source. The method comprises the following steps: step 1, compiling a rule; 2, performing automatic study and judgment; step 3, performing action processing; and step 4, performing front-end application. The invention specifically comprises researching and judging administrative inspection case source data including judgment documents and administrative punishment decisions through an administrative non-complaint execution automation engine; marking an early warning case source in a tagging mode; carrying out the links of model processing, case source pushing and the like; presenting administrative non-complaint execution early warning case source data, legal basis, supervision key points, brain maps, case handling guidance and other data visually to case handling procurators. The method can be applied to the field of administrative inspection and supervision, assists a procurator in case handling decision making, improves case handling efficiency, improves the ability of administrative inspection case source discovery, and improves judicial authority and judicial credibility while saving judicial resources and maintaining normal judicial order.

The invention discloses a brain graph generation method and device based on picture input, equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the steps of performing text recognition on an input picture to obtain all texts in the input picture; scanning pixels in a predetermined range around each text, and identifying a text area ofeach text; carrying out traversal scanning on the input picture to obtain associated information between the character areas; importing the associated information into a preset json file to obtain a tree structure of the associated information; and newly establishing a brain map drawing page based on the tree structure of the associated information, and importing all texts in the input picture into the newly built brain map drawing page to obtain a newly built brain map. In addition, the invention also relates to a blockchain technology, and the relation object can be stored in the blockchain.According to the method and the device, the file imported from the picture style can be converted into the file in the brain graph format, so that a user can conveniently check and edit the file imported from the picture style on a brain graph tool.

The invention discloses an electroencephalogram identity recognition method based on feature visualization and multi-modal fusion. The electroencephalogram identity recognition method comprises the following steps that firstly, data preprocessing is conducted on motor imagery electroencephalogram signals; secondly, aiming at each frequency band, mapping frequency band characteristics after mean value removal to a brain map according to electrode positioning of a human cerebral cortex, and performing interpolation by adopting a biharmonic spline interpolation method to generate a visual brain topographic map; then, depth information is extracted from the electroencephalogram time-frequency domain features and the electroencephalogram visualized image features through a deep network, and the electroencephalogram time-frequency domain features and the electroencephalogram visualized image features are fused on the same dimension to serve as multi-modal depth features; for each frequency band, an effective depth feature extractor and a multi-modal classifier are obtained through training, and a frequency band model with the highest performance is used as an identity recognition model of the system. The electroencephalogram visualization feature representation can reflect channel position information, meanwhile, potential electroencephalogram information of an uncollected electrode can be mined, and the complementary relation between image features and traditional vector features is deeply mined.

An embodiment pertains to a method for evaluating efficacy of a drug which increases or decreases the secretion of a particular neurotransmitter, by measuring a concentration change of the particular neurotransmitter in a specific intracerebral site with reference to a brain map, the method comprising the steps of: selecting as a microdialysis target region in the brain map a first site of an animal, which corresponds to a site that the brain map represents as being the highest in the concentration of a first neurotransmitter of which the secretion is increased or decreased by the drug; and injecting the drug to the animal and monitoring a concentration change of the first neurotransmitter in the first site between pre- and post-injection of the drug. The brain map is constructed by acquiring a concentration distribution of 11 or more multiple neurotransmitters including serotonin, dopamine, GABA, glutamate, and metabolites thereof, obtained by mass analysis of samples acquired from multiple sites in the human brain—hereinafter referred to as first concentration distribution—and a concentration distribution of 11 or more multiple neurotransmitters including serotonin, dopamine, GABA, glutamate, and metabolites thereof, obtained by mass analysis of samples acquired from multiple sites in a monkey brain—hereinafter referred to as second concentration distribution—, and utilizing first correlation including at least 11 correlation data resulting from matching the multiple sites of the human brain to the multiple sites of the monkey brain on the basis of similarity in the concentration distribution of the individual neurotransmitters between the first concentration distribution acquired and the second concentration distribution acquired, and the second concentration distribution, wherein the first site corresponds to a second site in the second concentration distribution when the first neurotransmitter is the most abundant at the second site in the first concentration distribution.

The invention discloses a global brain map construction method and system based on system thinking, and belongs to the field of brain working mechanism simulation. The method comprises the following steps: constructing a global brain map based on system thinking for thinking emergence; firstly, building a unified thought knowledge base; forming a thinking map by newly creating thinking elements, and constructing a global brain map; then, performing correlation analysis, searching a closed loop, and realizing brain thinking emerging; meanwhile, developing a parallel brain software system, simulating the thinking mode of the brain to record and integrate knowledge, information and thoughts, performing deep mining, and simulating and reproducing the new thought generation process of the human brain. The method and system designed by the invention can help people to realize efficient knowledge management, improve the efficiency of cognizing things, assist people in forming new ideas, boost personal inspiration burst, accelerate information sharing among teams and effectively promote team cooperation.