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Murata, Shingo,Yamashita, Yuichi,Arie, Hiroaki,Ogata, Tetsuya,Sugano, Shigeki,Tani, Jun IEEE 2017 IEEE transactions on neural networks and learning Vol.28 No.4
<P>We suggest that different behavior generation schemes, such as sensory reflex behavior and intentional proactive behavior, can be developed by a newly proposed dynamic neural network model, named stochastic multiple timescale recurrent neural network (S-MTRNN). The model learns to predict subsequent sensory inputs, generating both their means and their uncertainty levels in terms of variance (or inverse precision) by utilizing its multiple timescale property. This model was employed in robotics learning experiments in which one robot controlled by the S-MTRNN was required to interact with another robot under the condition of uncertainty about the other's behavior. The experimental results show that self-organized and sensory reflex behavior-based on probabilistic prediction-emerges when learning proceeds without a precise specification of initial conditions. In contrast, intentional proactive behavior with deterministic predictions emerges when precise initial conditions are available. The results also showed that, in situations where unanticipated behavior of the other robot was perceived, the behavioral context was revised adequately by adaptation of the internal neural dynamics to respond to sensory inputs during sensory reflex behavior generation. On the other hand, during intentional proactive behavior generation, an error regression scheme by which the internal neural activity was modified in the direction of minimizing prediction errors was needed for adequately revising the behavioral context. These results indicate that two different ways of treating uncertainty about perceptual events in learning, namely, probabilistic modeling and deterministic modeling, contribute to the development of different dynamic neuronal structures governing the two types of behavior generation schemes.</P>
Hiroki Tanaka,Shimpei Matsusaki,Youichirou Baba,Yoshiaki Isono,Tomohiro Sase,Hiroshi Okano,Tomonori Saito,Katsumi Mukai,Tetsuya Murata,Hiroki Taoka 대한소화기내시경학회 2018 Clinical Endoscopy Vol.51 No.2
Background/Aims: It is sometimes difficult to distinguish between malignant and benign biliary strictures using imaging studiesalone, and pathological diagnosis is necessary. The aim of this study was to determine the usefulness of endoscopic transpapillary tissuesampling and factors predictive of diagnostic accuracy. Methods: From April 2008 to December 2014, 136 patients underwent endoscopic transpapillary tissue sampling for malignantbiliary strictures. The cytological and histological findings were reported as negative, suspicious, or positive. Suspicious and positivefindings were defined as pathologically positive. Results: The sensitivity was 65.0% for forceps biopsy, 49.5% for brush cytology, 46.2% for bile aspiration cytology, and 21.9% forendoscopic nasobiliary drainage cytology. The combination of these procedures improved the sensitivity (72.8%). Endoscopictranspapillary tissue sampling was more sensitive for lesions of biliary origin (91.4%) than for extrabiliary lesions (66.3%). In surgicalcases, the sensitivity for tumors with an infiltrative growth pattern (53.3%) was significantly lower than for a tumor with an expandingor intermediate growth pattern (87.5%). Conclusions: Combining procedures can improve diagnostic accuracy. It may be possible to predict the sensitivity of endoscopictranspapillary tissue sampling by evaluating the etiology and tumor growth pattern using preoperative imaging studies.