http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108509933-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-12 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-06 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2414 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 |
| filingDate | 2018-04-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-09-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-09-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108509933-B |
| titleOfInvention | A Time-varying Granger Causality Accurate Identification Method of Spike Potential Based on Multiwavelet Basis Function Expansion |
| abstract | The invention provides an accurate identification method of spike potential time-varying Granger causality based on multi-wavelet basis function expansion, which belongs to the technical field of signal analysis and processing. As shown in Figure 1, the method first uses the AIC method to select the optimal memory length corresponding to each neuron; then, a generalized L‑V model is established, and the multi-wavelet basis function method is used to expand it to obtain a time-invariant parameter model ; Then the expanded model is sparsed by the OFR algorithm, the parameters of the sparse model are estimated, and the time-varying kernel function in the generalized L-V model is reversely reconstructed; finally, the log-likelihood value of the model point process is solved, and the final corresponding neuron is calculated. The time-varying Granger causality value of . Compared with the existing time-varying Granger estimation method based on SSPPF, the method proposed in the invention can better track the fast-changing causal relationship, improve the recognition accuracy of the time-varying causal relationship, and provide the time-varying functional connection recognition for the neuron spike potential. The theoretical calculation framework and new solutions are presented. |
| priorityDate | 2018-04-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID426270875 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID44146714 |
Total number of triples: 15.