http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114781258-A

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http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-27
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
classificationIPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F111-08
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F30-27
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
filingDate 2022-04-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b176efb406f0226d4271b00fe2aa6f0e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f5c0c9a94d61e0e9493079536a9e281e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e824e8413180d65732c7cb8d362f274b
publicationDate 2022-07-22-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-114781258-A
titleOfInvention Construction method of digital twin zebrafish nervous system based on calcium wave imaging signal
abstract The present invention provides a method for constructing a digital twin zebrafish nervous system based on calcium wave imaging signals: step 1, estimating the probability distribution of neuron connections in different brain regions of zebrafish based on experimental data, and generating a network connection structure. Step 2: Calculate the neuron excitation inhibition index based on the calcium wave imaging signal of the zebrafish to obtain neuron type information. Step 3, build a zebrafish neural network model based on the connection data and neuron type information, and delineate the parameters that need to be assimilated. Step 4, use the cluster Kalman filter to assimilate the parameters that need to be assimilated until the correlation between the calcium wave data generated by the system and the experimental data is high enough. Step 5, use the assimilated system parameters to perform a simulation test. If the correlation between the calcium wave signal generated by the system and the experimental data is weak, repeat step 4 until the conditions in step 4 are reached. In step 6, the iterative assimilation parameters are used as system parameters to complete the construction of the zebrafish neuron system.
priorityDate 2022-04-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 25.