{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-8504502","patent":{"patent_number":"US-8504502","title":"Prediction by single neurons","assignee":null,"inventors":[],"filing_date":"2010-04-16T00:00:00.000Z","publication_date":"2013-08-06T00:00:00.000Z","cpc_codes":["G06N"],"num_claims":21,"abstract":"Associative plasticity rules are described to control the strength of inputs to an artificial neuron. Inputs to a neuron consist of both synaptic inputs and non-synaptic, voltage-regulated inputs. The neuron's output is voltage. Hebbian and anti-Hebbian-type plasticity rules are implemented to select amongst a spectrum of voltage-regulated inputs, differing in their voltage-dependence and kinetic properties. An anti-Hebbian-type rule selects inputs that predict and counteract deviations in membrane voltage, thereby generating an output that corresponds to a prediction error. A Hebbian-type rule selects inputs that predict and amplify deviations in membrane voltage, thereby contributing to pattern generation. In further embodiments, Hebbian and anti-Hebbian-type plasticity rules are also applied to synaptic inputs. In other embodiments, reward information is incorporated into Hebbian-type plasticity rules. It is envisioned that by following these plasticity rules, single neurons as well as networks may predict and maximize future reward."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Prediction by single neurons","description":"Associative plasticity rules are described to control the strength of inputs to an artificial neuron. Inputs to a neuron consist of both synaptic inputs and non-synaptic, voltage-regulated inputs. The","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-8504502","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-8504502","citation_suggestion":"Patentable. \"Prediction by single neurons\" (US-8504502). https://patentable.app/patents/US-8504502","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-8504502","json":"https://patentable.app/api/llm-context/US-8504502","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T20:33:10.041Z"}