2022年5月20日　　Friday Lunch Seminar （英語で開催）
12:15 〜 13:00
On-lineで開催いたします。

演題：Learning model of motor timing and patterns using a modular random neural network

大阪大学
先導的学際研究機構附属共生知能システム研究センター
特任准教授
河合 祐司

担当PI：浅田 稔

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.