{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10496922","patent":{"patent_number":"US-10496922","title":"Plastic neural networks","assignee":null,"inventors":[],"filing_date":"2016-05-12T00:00:00.000Z","publication_date":"2019-12-03T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N","G06N","G06N","G06N"],"num_claims":12,"abstract":"Described is a system for adapting neural networks. The system receives inputs to be learned by a multi-layered spiking neural network. A first mechanism is implemented to adapt weights on the connections via competition among neurons using Hebbian learning. Activity levels of the neurons are stabilized to allow the multi-layered spiking neural network to learn the inputs. A second mechanism is implemented to increase a learning rate of a neuron over time using Hebbian learning. A third mechanism is implemented, wherein newly created neurons, representing new inputs, copy at least one synaptic structure of older neurons in the multi-layered spiking neural network. The mechanisms are used for continuous, online learning of the inputs to the multi-layered spiking neural network. An autonomous system, such as an autonomous vehicle, can use the learned inputs to learn from its environment and perform tasks, such as classification and prediction."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Plastic neural networks","description":"Described is a system for adapting neural networks. The system receives inputs to be learned by a multi-layered spiking neural network. A first mechanism is implemented to adapt weights on the connect","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10496922","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-10496922","citation_suggestion":"Patentable. \"Plastic neural networks\" (US-10496922). https://patentable.app/patents/US-10496922","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10496922","json":"https://patentable.app/api/llm-context/US-10496922","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T11:54:44.403Z"}