{"id":"doi:10.1371/journal.pcbi.1011005","title":"Neural spiking for causal inference and learning","date":"2023-01-01","section":"NeuroAI","quality":0.231816,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/7ecb3e4c62d68dc77e8d7d5d489fb2bc708ced8e5cbddae81ea600413422e12f/","source_url":"https://doi.org/10.1371/journal.pcbi.1011005","text_available":true,"authors":["Benjamin James Lansdell","Konrad Paul 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Delayed XOR task description, methods and results.","offset":62605,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/7ecb3e4c62d68dc77e8d7d5d489fb2bc708ced8e5cbddae81ea600413422e12f/part-5.html#text"},{"title":"S1 Fig. Error in causal effect estimation for LIF networks with different refractory periods.","offset":62728,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/7ecb3e4c62d68dc77e8d7d5d489fb2bc708ced8e5cbddae81ea600413422e12f/part-5.html#text"},{"title":"S2 Fig. One-sided discontinuity estimator.","offset":63078,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/7ecb3e4c62d68dc77e8d7d5d489fb2bc708ced8e5cbddae81ea600413422e12f/part-5.html#text"},{"title":"S3 Fig. Learning delayed XOR in the presence of correlated noise.","offset":64516,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/7ecb3e4c62d68dc77e8d7d5d489fb2bc708ced8e5cbddae81ea600413422e12f/part-5.html#text"},{"title":"Acknowledgments","offset":65419,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/7ecb3e4c62d68dc77e8d7d5d489fb2bc708ced8e5cbddae81ea600413422e12f/part-5.html#text"}],"text_code_points":65559,"source_markdown":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/7ecb3e4c62d68dc77e8d7d5d489fb2bc708ced8e5cbddae81ea600413422e12f/source.md"}