http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115034253-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-16 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-904 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-72 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-388 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-14546 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-145 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-388 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-904 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-16 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2022-03-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_109b470cc960d5570243dfa33e3f5b38 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7fe45d7f3f630586a329b489efacc219 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_da78fd5fd3d4f8589df1639b9189f63c http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e866efd273828a0667c685e223252cd7 |
| publicationDate | 2022-09-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-115034253-A |
| titleOfInvention | Dimensionality reduction and visualization of high-throughput calcium signals based on Laplace feature maps |
| abstract | The present invention provides a dimensionality reduction and visualization method for high-throughput calcium signals based on Laplacian feature mapping. The Laplacian feature mapping is used to reduce dimensionality of high-dimensional calcium signals recorded in neuro-optical imaging, extract effective information, and extract effective information. Dynamic images are drawn in low-dimensional space, enabling intuitive representation of neural cluster activity patterns recorded by calcium imaging techniques. Compared with traditional methods such as generalized linear regression models, the present invention can process high-throughput calcium signals with larger scale and lower signal-to-noise ratio, so it has obvious advantages in processing calcium signals of large-scale neuron clusters and their dynamic visualization. Advantage. The high-throughput calcium signal dimensionality reduction and visualization method based on Laplacian feature map is also better than other dimensionality reduction methods in terms of clustering accuracy and visualization graph discrimination. Due to the computational complexity, the present invention also has significant advantages in running time-consuming, and can be used for real-time online dimension reduction and visualization processing. |
| priorityDate | 2022-03-15-04:00^^<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/SID419559505 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID5460341 |
Total number of triples: 27.