{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11308387","patent":{"patent_number":"US-11308387","title":"STDP with synaptic fatigue for learning of spike-time-coded patterns in the presence of parallel rate-coding","assignee":null,"inventors":[],"filing_date":"2017-05-09T00:00:00.000Z","publication_date":"2022-04-19T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N","G06N","G11C","G11C","G11C","G11C"],"num_claims":20,"abstract":"A circuit implementing a spiking neural network that includes a learning component that can learn from temporal correlations in the spikes regardless of correlations in the rates. In some embodiments, the learning component comprises a rate-discounting component. In some embodiments, the learning rule computes a rate-normalized covariance (normcov) matrix, detects clusters in this matrix, and sets the synaptic weights according to these clusters. In some embodiments, a synapse with a long-term plasticity rule has an efficacy that is composed by a weight and a fatiguing component. In some embodiments, A Hebbian plasticity component modifies the weight component and a short-term fatigue plasticity component modifies the fatiguing component. The fatigue component increases with increases in the presynaptic spike rate. In some embodiments, the fatigue component increases are implemented in a spike-based manner. In some embodiments, the Hebbian plasticity is a spike-timing-dependent plasticity (STDP), resulting in a fatiguing STDP (FSTDP) synapse."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"STDP with synaptic fatigue for learning of spike-time-coded patterns in the presence of parallel rate-coding","description":"A circuit implementing a spiking neural network that includes a learning component that can learn from temporal correlations in the spikes regardless of correlations in the rates. In some embodiments,","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11308387","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-11308387","citation_suggestion":"Patentable. \"STDP with synaptic fatigue for learning of spike-time-coded patterns in the presence of parallel rate-coding\" (US-11308387). https://patentable.app/patents/US-11308387","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11308387","json":"https://patentable.app/api/llm-context/US-11308387","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T17:38:21.159Z"}