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2161 results about "Nerve cells" patented technology

Artificial neural network calculating device and method for sparse connection

ActiveCN105512723ASolve the problem of insufficient computing performance and high front-end decoding overheadAdd supportMemory architecture accessing/allocationDigital data processing detailsActivation functionMemory bandwidth
An artificial neural network calculating device for sparse connection comprises a mapping unit used for converting input data into the storage mode that input nerve cells and weight values correspond one by one, a storage unit used for storing data and instructions, and an operation unit used for executing corresponding operation on the data according to the instructions. The operation unit mainly executes three steps of operation, wherein in the first step, the input nerve cells and weight value data are multiplied; in the second step, addition tree operation is executed, the weighted output nerve cells processed in the first step are added level by level through an addition tree, or the output nerve cells are added with offset to obtain offset-added output nerve cells; in the third step, activation function operation is executed, and the final output nerve cells are obtained. By means of the device, the problems that the operation performance of a CPU and a GPU is insufficient, and the expenditure of front end coding is large are solved, support to a multi-layer artificial neural network operation algorithm is effectively improved, and the problem that memory bandwidth becomes a bottleneck of multi-layer artificial neural network operation and the performance of a training algorithm of the multi-layer artificial neural network operation is solved.
Owner:CAMBRICON TECH CO LTD

Chinese question-answering system based on neural network

The invention discloses a Chinese question-answering system based on a neural network, which comprises a user interface module, a question word pre-segmentation module, a nerve cell pre-tagging module, a learning and training module, a nerve cell knowledge base module, a semantic block identification module, a question set index module and an answer reasoning module. The system comprises the steps of: firstly adopting an SIE encoding mode to encode the in-vocabulary words of the semantic block according to corresponding position, later converting an identification problem of the question semantic block into a tagging classification problem, and then adopting a classification model based on the neural network to determine the semantic structure of the question, and finally combing the semantic structure of the question to realize the question similarity computation based on the neural network and comparing the weight of various semantic features of the question by extracting the tagged semantic features of the question, thereby providing a basis for final answer reasoning. The Chinese question-answering system integrates the syntax, the semantics and the contextual knowledge of the question and can simulate the process that human beings process the sentence.
Owner:HUAZHONG NORMAL UNIV

Neuroprotectin D1 protects against cellular apoptosis, stroke damage, alzheimer's disease and retinal diseases

A unique DHA product, 10, 17S-docosatriene (“Neuroprotectin D1” or “NPD1”), was found to provide surprisingly effective neuroprotection when administered right after an experimental stroke. Moreover, both nerve cells and retinal pigment epithelial (RPE) cells were found to synthesize 10,17S-docosatriene (NPD1) from DHA. NPD1 also potently counteracted H2O2/TNFα oxidative stress-mediated cell apoptotic damage. Under the same oxidative-stress conditions, NPD1 up-regulated the anti-apoptotic Bcl-2 proteins, Bcl-2 and Bcl-xL, and decreased expression of the pro-apoptotic proteins, Bad and Bax. Moreover, in RPE cells NPD1 inhibited oxidative stress-induced caspase-3 activation, IL-1β-stimulated human COX-2 promoter expression, and apoptosis due to N-retinylidene-N-retinylethanolamine (A2E). Overall, NPD1 protected both nerve and retinal pigment epithelial cells from cellular apoptosis and damage due to oxidative stress. NPD1 concentration in the brain of Alzheimer's patients was found to be significantly decreased from that of controls. In cultured human brain cells, NPD1 synthesis was up-regulated by neuroprotective soluble β amyloid, and NPD1 was found to inhibit secretion of toxic β amyloid peptides.
Owner:THE BRIGHAM & WOMEN S HOSPITAL INC +1

Multipotent stem cells derived from placenta tissue and cellular therapeutic agents comprising the same

InactiveUS20070243172A1Negative immunological responseBiocideArtificial cell constructsGerm layerDisease
The present invention relates to placenta tissue-derived multipotent stem cells and cell therapeutic agents containing the same. More specifically, to a method for producing placenta stem cells having the following characteristics, the method comprising culturing amnion, chorion, decidua or placenta tissue in a medium containing collagenase and bFGF and collecting the cultured cells: (a) showing a positive immunological response to CD29, CD44, CD73, CD90 and CD105, and showing a negative immunological response to CD31, CD34, CD45 and HLA-DR; (b) showing a positive immunological response to Oct4 and SSEA4; (c) growing attached to plastic, showing a round-shaped or spindle-shaped morphology, and forming spheres in an SFM medium so as to be able to be maintained in an undifferentiated state for a long period of time; and (d) having the ability to differentiate into mesoderm-, endoderm- and ectoderm-derived cells. Also the present invention relates to placenta stem cells obtained using the production method. The inventive multipotent stem cells have the ability to differentiate into muscle cells, vascular endothelial cells, osteogenic cells, nerve cells, satellite cells, fat cells, cartilage-forming cells, osteogenic cells, or insuline-secreting pancreatic β-cells, and thus are effective for the treatment of muscular diseases, osteoporosis, osteoarthritis, nervous diseases, diabetes and the like, and are useful for the formation of breast tissue.
Owner:RNL BIO

Face recognition method based on convolutional neural network

InactiveCN104346607AHigh Distortion ToleranceBig space contributionCharacter and pattern recognitionFeature extractionNeuron
The invention provides a face recognition method based on a convolutional neural network. The face recognition method comprises the following steps: carrying out necessary pretreatment at early stage on a facial image to obtain an ideal facial image; selecting the ideal facial image as the input of the convolutional neural network to enter U0, wherein the output of the U0 enters UG, and the output of the UG is taken as the input of US1; extracting edge components in different directions in an input image as first-time feature extraction and outputting to the input of special UC1 through supervised training by the S nerve cell of the US1; taking the output of the UC1 as the input of US2, completing the second-time feature extraction by the US2 and taking as the input of UC2; taking the output of the UC2 as the input of US3, and completing the third-time feature extraction by the US3 and taking as the input of UC3; taking the output of the UC3 as the input of US4, and obtaining the weight, threshold value and neuron plane number in each layer in a supervision competitive learning mode by the US4 and taking as the input of the UC4; taking the UC4 as the output layer of the network, and outputting the final mode recognition result of the network determined by the maximum output result of the US4. According to the face recognition method, the recognition rate of faces in complex scenarios can be improved.
Owner:SHANGHAI DIANJI UNIV

Microelectrode array chip for multi-parameter detection of nerve cells and preparation method thereof

The invention discloses a microelectrode array chip for multi-parameter detection of nerve cells and a preparation method thereof, relating to a sensor technology. The chip consists of seven parts including an insulating base, a microelectrode array, counter electrodes, reference electrodes, electrode leads, contacts, a superficial insulating layer and a modification material, wherein the electrodes are prepared by using a micro-electro-mechanical system (MEMS) process, and a specific nano-composite material and enzymes are modified at fixed points on the surfaces of the electrodes. The nerve cells are cultivated on the surfaces of modified working electrodes, and by combining the counter electrodes and the reference electrodes, the microelectrode array chip can be used for detecting electrophysiological signals of the nerve cells and electrochemical signals of neurotransmitters such as dopamine, acetyl choline and the like in real time at the same time, and has a function of applying electrical stimulation to the nerve cells. The microelectrode array chip integrates functions, modifies a material at fixed points, is convenient to use, and is suitable for culturing the nerve cells and making related research on multi-parameter detection of the nerve cells in laboratories.
Owner:INST OF ELECTRONICS CHINESE ACAD OF SCI

Method for extracting characteristic of natural image based on dispersion-constrained non-negative sparse coding

The invention discloses a method for extracting the characteristic of a natural image based on dispersion-constrained non-negative sparse coding, which comprises the following steps of: partitioning an image into blocks, reducing dimensions by means of 2D-PCA, non-negative processing image data, initializing a wavelet characteristic base based on 2D-Gabor, defining the specific value between intra-class dispersion and extra-class dispersion of a sparsity coefficient, training a DCB-NNSC characteristic base, and image identifying based on the DCB-NNSC characteristic base, etc. The method has the advantages of not only being capable of imitating the receptive field characteristic of a V1 region nerve cell of a human eye primary vision system to effectively extract the local characteristic of the image; but also being capable of extracting the characteristic of the image with clearer directionality and edge characteristic compared with a standard non-negative sparse coding arithmetic; leading the intra-class data of the characteristic coefficient to be more closely polymerized together to increase an extra-class distance as much as possible with the least constraint of specific valuebetween the intra-class dispersion and the extra-class dispersion of the sparsity coefficient; and being capable of improving the identification performance in the image identification.
Owner:SUZHOU VOCATIONAL UNIV
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