{"id":713,"date":"2022-05-05T15:22:02","date_gmt":"2022-05-05T06:22:02","guid":{"rendered":"http:\/\/cinetjp-static3.nict.go.jp\/japanese\/?p=702"},"modified":"2022-08-27T21:31:25","modified_gmt":"2022-08-27T12:31:25","slug":"20220520_4027","status":"publish","type":"event","link":"http:\/\/cinetjp-static3.nict.go.jp\/english\/event\/20220520_4027\/","title":{"rendered":"Friday Lunch Seminar: Yuji Kawai: \u201cLearning model of motor timing and patterns using a modular random neural network\u201d (On-line for CiNet members only: Sign-up required)"},"content":{"rendered":"\n

Friday Lunch Seminar (English)<\/p>\n\n\n\n

May 20, 2022
12:15\u00a0\u301c\u00a013:00
(On-line)<\/p>\n\n\n\n

Talk Title: Learning model of motor timing and patterns using a modular random neural network<\/p>\n\n\n\n

Yuji Kawai
Specially Appointed Associate Professor
Symbiotic Intelligent Systems Research Center
Institute for Open and Transdisciplinary Research Initiatives
Osaka University<\/p>\n\n\n\n

Host PI: Minoru Asada<\/a><\/p>\n\n\n\n

Abstract:
The ability of the brain to generate complex spatiotemporal patterns with a specific timing is essential for motor learning and time series prediction. An approach that tries to replicate this ability using the self-sustained neural activity of a randomly connected recurrent neural network (RNN), i.e., reservoir, meets the difficulty of orbital instability. We proposed a novel model that learns an arbitrary time series as the linear sum of stable trajectories produced by a large number of small random RNN modules. Our experimental results show that the trajectories of the module outputs are orthogonal to each other, that is, the reservoir self-organizes an orthogonal basis, that enables the model to learn the timing of extremely long intervals and complex time series of Lorenz system.<\/p>\n","protected":false},"featured_media":0,"template":"","acf":[],"_links":{"self":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/event\/713"}],"collection":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/event"}],"about":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/types\/event"}],"version-history":[{"count":5,"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/event\/713\/revisions"}],"predecessor-version":[{"id":847,"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/event\/713\/revisions\/847"}],"wp:attachment":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/media?parent=713"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}