Seitai Near Sannomiya

Yukie Nagai, “Synthetic approach to understanding cognitive developmental mechanisms based on predictive learning,” The 5th Symposium on Developmental Neuroscience, Tokyo, November 26-27, 2016. 【2】 Coordinated social science-science research focused its attention on hierarchy and revealed that the agricultural turbid water problem is a "complicated problem" consisting of various different environmental problems. These factors combine to form an "autoregressive" environmental problem that develops in farming communities where farmers themselves damage the water environment in irrigation channels.
To  achieve this, we must coordinate with research institutes that can study themes closely related to the local community and a system that realizes communication among NPOs, residents and administration. Amagase Masahiro completed human behavioral science course at Graduate School of Literature and Human Sciences, Osaka City University. He studies environmental cognition and behaviors, and the psychological basis of ethics as our way of living. He chairs the meeting for promoting moral education at Nara since 2012, and the conference for the study of “Inochi” education at Nara Prefecture Uda Animal Park since 2013.

While Dr. Shibanai was working with companion animals in the veterinary field for many years and, as fourth JAHA President, she started up the ‘Companion Animal Partnership Program’ . She has worked tirelessly in the practice and promotion of Animal Assisted Activity, Therapy and Education and delivers lectures on a regular basis. ・Lake Biwa-Yodo River project Social & Cultural WG ed "Inae waterfront ". 2006 Environmentally cautious behavior to Lake Biwa of local residents in the seashore.. Proceedings of the 70th Annual meeting of the Japanese Pshychological Association. In terms of overseas exposure, we gave presentations at the International Association for Ecology and the Asia Oceania Geoscience Society .
The left panel of the Figure 3.3.1 shows the estimated cost function of some subjects in the short and long pole conditions. For example, the subject 7 used the same cost for the both conditions while the subjects 4 and 5 used the different cost. These facts correspond to the difference 三宮　美容鍼 of behaviors. The right panel shows the negative log likelihood of the optimal policy trained with the estimated cost function. In this study, we hypothesized that WSLS is employed when the working memory is readily usable and value-based strategy is employed when WM is hard to use.

Jointly with the Center for Ecological Research of Kyoto University, one of our cooperating institutes, and introduced the Institute's projects at free gatherings. For publication, we prepared a final year result report on the Project and we plan to deliver copies to the relevant organizations in Shiga prefecture and to university libraries throughout the country. Next year, we are planning to publish a book on the results of the Project on a commercial basis through Kyoto University Press as part of the Institute's library.
To further investigate whether a timely activation of the DRN serotonergic neurons causes animals to be more patient for delayed rewards, we introduced transgenic mice that expressed the channelrhodopsin-2 variant ChR2 in the serotonin neurons. We confirmed that blue light stimulation of DRN effectively activate serotonin neurons by monitoring serotonin efflux in the medial prefrontal. We found that serotonin neuron stimulation prolonged the time animals spent for waiting in reward omission trials. This effect was observed specifically when the animal was engaged in deciding whether to keep waiting and not due to motor inhibition. Control experiments showed that the prolonged waiting times observed with optogenetic stimulation were not due to behavioral inhibition or the reinforcing effects of serotonergic activation (Miyazaki et al., Curr Biol, 2014). These results show that the timed activation of serotonin neurons during waiting promotes animals’ patience to wait for delayed rewards.
Developed an efficient inverse reinforcement learning algorithm using the framework of linearly solvable Markov decision process . Using the embodied evolution framework of Cyber Rodent robots, the group revealed that polymorphic mating behaviors can emerge and be stable in a robot colony. The group is also developing a robot platform using smartphones and realized dynamic stading up and balancing behaviors. Applied machine learning methods for subtype identification and diagnosis of depression patients using functional MRI and other neurobiological data. In collaboration with Prof. Kaibuchi's lab in Nagoya U, the gourp created a database of phosphoproteomics comprehensive understanding dopamine-related signaling pathways and also a new signaling cascade models including dopamine D2 receptors and adenosine recepters.

Therefore various applications of smartphones are proposed in commercial and academic studies. This study proposed and develops a new robot platform using a smartphone, called Smart Phone Robot, aiming the development platform of the home robot in the future. To achieve this goal, we design a new hardware system for the smartphone robot and propose software architecture necessary for the control application of the robot. Compared to the robot developed in FY2012, we upgrade the hardware with the Android phone with Nexus 4, an Android compatible interface board, IOIO OTG, the HUB-EE wheels with built-in motor, motor controller and rotary encoder, and a wireless chargeable battery.
In 1999 Dr. Fukushima joined Japan’s Ministry of Health, Labour and Welfare as a Veterinary Officer. Within the Department of Food Safety she was involved in safety assessment of genetically modified foods, in drawing up the relevant standards and regulations , and in negotiating international food standards, etc. In 2009, she was posted to the Department of Food Safety and Zoonoses of the World Health Organization in charge of the microbiological risk assessment of food. Her current post, since May 2012 involves working on measures to counter zoonoses and for the control and regulation of pathogens. Between 1979 and 1981 she studied in the UK and Canada, receiving animal welfare training and qualifying as an Inspector for the RSPCA .

Yukie Nagai, “Computational models for cognitive development,” ISSA Summer School 2017, Osaka, May 22-June 2, 2017. Yukie Nagai, “Computational approach to understanding underlying neural mechanisms of autism spectrum disorder,” The 115th Annual Meeting of the Japanese Society of Psychiatry and Neurology, Niigata, June 20-22, 2019. Anja Philippsen, Sho Tsuji, and Yukie Nagai, “Quantifying developmental differences in drawing ability using a convolutional neural network,” International Symposium on Artificial Intelligence and Brain Science, October 10-12, 2020. Yukie Nagai, “Cognitive development based on predictive coding,” Cross Roads #16, Tokyo, September 25, 2020. & Doya, K. Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces, in Neuro 2013, Kyoto International Conference Center . Uchibe, E. Inverse reinforcement learning for understanding human behaviors, in International Symposium on Past and Future Directions of Cognitive Developmental Robotics, Osaka University Nakanoshima Center 10F .
Analysis of human behaviors by inverse reinforcement learning in a pole balancing task, in 3rd International Symposium on The Biology of Decision Making, Paris, France . &  Doya, K. Hierarchical population coding of trial phases by the striatal neurons during a choice task, in Society for neuroscience annual meeting, San Diego, USA . Calcium is an important second messenger in neurons and an increased calcium concentration is correlated with neuronal activity.

On the other hand, it is little known what sites are phosphorylated by a specific kinase and what extracellular stimuli activate the protein phosphorylation via intracellular signaling cascades, which is a fundamental step to reveal the complete picture of signaling pathways of cellular functions. Prof. Kozo Kaibuchi recently developed a new methodology for screening the target phospholyrated sites of a given kinase using the mass spectrometry, and succeeded in identifying hundreds of phosphorylated sites of representative kinases such as PKA, MAPK, CaMKII and so on. Aiming at facilitating to extract scientifically significant information from a bunch of the data, we developed a database platform for phosphoproteomics under the collaboration with Prof. Kaibuchi. Diagnosis of depression is currently based on long interviews. We investigate how subtypes can be identified and how they can be categorized so as to provide a basis for adequate treatment methods.
For this reason we use a genetically encoded calcium indicator, called G-CaMP, in posterior parietal cortex of mice to detect neuronal activities. We could record the activities of more than 500 neurons simultaneously and of cortical layer 1 to 5 for one hour continuously (Figure 3.2.4). From the population activities in layer 2, we decoded the distance to sound source by the least absolute shrinkage and selection operator .