http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-3847589-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_7cd7f8748fafa42d298a39df9bea7d6d |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-126 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-01 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-002 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-061 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-12 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-06 |
| filingDate | 2019-09-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b62fa8dd7779ab8c4a03e6cdba1234c4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d7df023c7c049880f44f23c4447a96a5 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_224a570f7c038f2f00cab2fbb0e9d346 |
| publicationDate | 2021-07-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | EP-3847589-A1 |
| titleOfInvention | Cognitive computing methods and systems based on biological neural networks |
| abstract | A Biological Neural Network (BNN) core unit comprising a neural cell culture, an input stimulation unit, an output readout unit may be controlled through its various life cycles to provide data processing functionality. An automation system comprising an environmental and chemical controller unit adapted to operate with the BNN stimulation and readout data interfaces facilitates the monitoring and adaptation of the BNN core unit parameters. Pre-processing and post-processing of the BNN interface signals may further facilitate the training and reinforcement learning by the BNN. Multiple BNN core units may also be assembled together as a stack. The proposed system provides a BNN Operating System as a core component for a wetware server to receive, process and transmit data for different client applications without exposing the BNN core unit components to the client user while requiring significantly less energy than conventional silicon-based hardware and software information processing for high-level cognitive computing tasks. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2016141137-A1 |
| priorityDate | 2018-09-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 54.