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— In this paper a novel framework for multimodal categorization using Bag of multimodal LDA models is proposed. The main issue, which is tackled in this paper, is granularity of categories. The categories are not fixed but varied according to context. Selective attention is the key to model this granularity of categories. This fact motivates us to introduce(More)
— In this paper, we propose a nonparametric Bayesian framework for categorizing multimodal sensory signals such as audio, visual, and haptic information by robots. The robot uses its physical embodiment to grasp and observe an object from various viewpoints as well as listen to the sound during the observation. The multimodal information enables the robot(More)
— In this paper we propose LDA-based framework for multimodal categorization and words grounding for robots. The robot uses its physical embodiment to grasp and observe an object from various view points as well as listen to the sound during the observing period. This multimodal information is used for categorizing and forming multimodal concepts. At the(More)
Koso-san (Xiang-Su-San in Chinese), a Kampo (Japanese herbal) medicine, is used clinically in East Asia for the treatment of depression-like symptoms associated with the initial stage of the common cold, allergic urticaria due to food ingestion, irritable bowel syndrome, chronic fatigue syndrome, insomnia, and autonomic imbalance. However, the(More)
Rosmarinic acid (RA) is one of major polyphenolic ingredients of Perillae Herba (a leaf of Perilla frutescens), and has an antidepressant-like property in animal models of depression. However, the mechanism(s) underlying this activity are unknown. Recent studies have reported that regulation of hippocampal neurogenesis is associated with the pathogenesis of(More)
A decrease in orexin-A (OX-A) levels has been reported to be associated with depression. It is also well known that stress and depression can disrupt neurogenesis in the dentate gyrus of the hippocampus; however, it is unclear how OX-A is involved in depression and/or neurogenesis. In the present study, we investigated the effect of i.c.v. administration of(More)
— In this paper, we propose an online algorithm for multimodal categorization based on the autonomously acquired multimodal information and partial words given by human users. For multimodal concept formation, multimodal latent Dirichlet allocation (MLDA) using Gibbs sampling is extended to an online version. We introduce a particle filter, which(More)