Nobuhiko Asakura

Osaka University | Handai · Center for Mathematical Modeling and Data Science

Fucosylation is involved in cancer and inflammation, and several fucosylated proteins, such as AFP-L3 for hepatocellular carcinoma, are used as cancer biomarkers. We previously reported an increase in serum fucosylated haptoglobin (Fuc-Hp) as a biomarker for several cancers, including pancreatic and colon cancer and hepatocellular carcinoma. The re...

Hepatocellular carcinoma (HCC) is the third leading cause of cancer death worldwide. Additionally, the efficacy of targeted molecular therapies with multiple tyrosine kinase inhibitors is limited. In this study, we focused on the cellular signaling pathways common to diverse HCC cells and used quantitative reverse phase protein array (RPPA) and sta...

Stuttering is a fluency disorder, partially alleviated during altered auditory feedback, suggesting abnormal sensorimotor integration in adults who stutter (AWS). As weighting of multiple integrating-information sources would be decided based on their reliabilities, the use of external (auditory feedback) and internal information (prediction of sen...

Active exploration of views of 3-D objects by manually controlling a device, such as a trackball, facilitates subsequent object recognition, suggesting that motor simulation contributes to object recognition. Further, biomechanical constraints, such as range of hand rotation, can affect mental rotation. Thus, the ease with which an object can be ro...

Two apparently contrasting theories have been proposed to account for the development of children's theory of mind (ToM): theory-theory and simulation theory. We present a Bayesian framework that rationally integrates both theories for false belief reasoning. This framework exploits two internal models for predicting the belief states of others: on...

Previous research has shown that our ability to imagine object rotations is limited and associated with spatial reference frames; performance is poor unless the axis of rotation is aligned with the object-intrinsic frame or with the environmental frame. Here, we report an active effect of these reference frames on the process of mental rotation: th...

One of the essential cognitive abilities of the hu­ man brain is the ability to recognize 3D objects. However, the exact neural mechanism is stilI unclear. In this study, a model of the inferior temporal cortex for object recognition is proposed. The architecture of the model is based on the modular network SOM. The model has been trained to perfor...

Harman et al (1999, Current Biology 9 1315-1318) showed that active exploration of novel objects allows faster recognition of these objects than passive viewing. Here, we examined whether active exploration of particular objects can facilitate subsequent view matching of different objects within the same category. In the generalisation phase, parti...

Many studies of on-line comprehension of semantic violations have shown that the human sentence processor rapidly constructs a higher-order semantic interpretation of the sentence. What remains unclear, however, is the amount of time required to detect semantic anomalies while concatenating two words to form a phrase with very rapid stimuli present...

We examined the phenomenon in which two physically aligned monocular stimuli appear to be non-collinear when each of them is located in binocular regions that are at different depth planes. Using monocular bars embedded in binocular random-dot areas that are at different depths, we manipulated properties of the binocular areas and examined their ef...

Sensitivity to binocular disparity modulation has been shown to have a bandpass nature. This paper presents a computational account for the disparity modulation function (DMF) in terms of a Bayesian surface reconstruction. The Bayesian approach suggests that prior assumptions about surface structure will affect the perception of disparity modulatio...

We propose a computational model for the perception of surfaces from binocular disparity within a Bayesian framework. The model attempts to reconstruct the perceived surfaces from their differential structure, which is concurrently estimated from initial data of given binocular disparity. To achieve this, the model consists of four processes: a con...