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Your search keyword '"Mita, Takeshi"' showing total 47 results
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47 results on '"Mita, Takeshi"'

1. Glymphatic system impairment in sleep disruption: diffusion tensor image analysis along the perivascular space (DTI-ALPS)

Author

Saito, Yuya, Hayakawa, Yayoi, Kamagata, Koji, Kikuta, Junko, Mita, Takeshi, Andica, Christina, Taoka, Toshiaki, Uchida, Wataru, Takabayashi, Kaito, Tuerxun, Rukeye, Mahemuti, Zaimire, Yoshida, Seina, Kitagawa, Takafumi, Arai, Takashi, Suzuki, Akiyoshi, Sato, Kanako, Nishizawa, Mitsuo, Akashi, Toshiaki, Shimoji, Keigo, Wada, Akihiko, and Aoki, Shigeki

Published
2023
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2. Neural Autopoiesis: Organizing Self-Boundary by Stimulus Avoidance in Biological and Artificial Neural Networks

Author

Masumori, Atsushi, Sinapayen, Lana, Maruyama, Norihiro, Mita, Takeshi, Bakkum, Douglas, Frey, Urs, Takahashi, Hirokazu, and Ikegami, Takashi

Subjects
Computer Science - Neural and Evolutionary Computing, Quantitative Biology - Neurons and Cognition
Abstract

Living organisms must actively maintain themselves in order to continue existing. Autopoiesis is a key concept in the study of living organisms, where the boundaries of the organism is not static by dynamically regulated by the system itself. To study the autonomous regulation of self-boundary, we focus on neural homeodynamic responses to environmental changes using both biological and artificial neural networks. Previous studies showed that embodied cultured neural networks and spiking neural networks with spike-timing dependent plasticity (STDP) learn an action as they avoid stimulation from outside. In this paper, as a result of our experiments using embodied cultured neurons, we find that there is also a second property allowing the network to avoid stimulation: if the agent cannot learn an action to avoid the external stimuli, it tends to decrease the stimulus-evoked spikes, as if to ignore the uncontrollable-input. We also show such a behavior is reproduced by spiking neural networks with asymmetric STDP. We consider that these properties are regarded as autonomous regulation of self and non-self for the network, in which a controllable-neuron is regarded as self, and an uncontrollable-neuron is regarded as non-self. Finally, we introduce neural autopoiesis by proposing the principle of stimulus avoidance.

Published
2020

3. Locally embedded presages of global network bursts

Author

Tajima, Satohiro, Mita, Takeshi, Bakkum, Douglas J., Takahashi, Hirokazu, and Toyoizumi, Taro

Subjects
Quantitative Biology - Neurons and Cognition, Mathematics - Dynamical Systems, Nonlinear Sciences - Chaotic Dynamics, I.2.0
Abstract

Spontaneous, synchronous bursting of neural population is a widely observed phenomenon in nervous networks, which is considered important for functions and dysfunctions of the brain. However, how the global synchrony across a large number of neurons emerges from an initially non-bursting network state is not fully understood. In this study, we develop a new state-space reconstruction method combined with high-resolution recordings of cultured neurons. This method extracts deterministic signatures of upcoming global bursts in "local" dynamics of individual neurons during non-bursting periods. We find that local information within a single-cell time series can compare with or even outperform the global mean field activity for predicting future global bursts. Moreover, the inter-cell variability in the burst predictability is found to reflect the network structure realized in the non-bursting periods. These findings demonstrate the deterministic mechanisms underlying the locally concentrated early-warnings of the global state transition in self-organized networks.

Published
2017
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6. Palladium-catalyzed carbonylative cyclization of 1-Iodo-2-alkenylbenzenes

Author

Negishi, Ei-ichi, Coperet, Christophe, Ma, Shengming, Mita, Takeshi, Sugihara, Takumichi, and Tour, James M.

Subjects
Ring formation (Chemistry) -- Research, Chemical reactions -- Research, Olefins -- Research, Palladium catalysts -- Research, Chemistry
Abstract

The scope of the cyclic acylpalladation reaction in palladium-catalyzed carbonylation of 1-Iodo-2-alkenylbenzenes with respect to the product ring size is investigated. The effects of carbon substituents in the parent vinyl group as well as heteroatom substituents on the reaction is evaluated. Results indicate that palladium-catalyzed carbonylation, whether with or without an external nucleophile, can produce modest yields of five and six membered cyclic acylpalladation products. Carbon substituents are shown to exert profound effects while those of heteroatom substituents are diverse and unclear.

Published
1996

21. 討論（司会：八木紀一郎）

Author

Mita, Takeshi, Onishi, Hiroshi, Motoyama, Yoshihiko, Yamamoto, Hiromi, and Yagi, Kiichiro

Subjects
河上肇, 中国, 政治経済学, マルクス主義
Published
2005

26. Caltech-UCSD Birds 200

Author

Welinder, Peter, Branson, Steve, Mita, Takeshi, Wah, Catherine, Schroff, Florian, Belongie, Serge, Perona, Pietro, Welinder, Peter, Branson, Steve, Mita, Takeshi, Wah, Catherine, Schroff, Florian, Belongie, Serge, and Perona, Pietro

Abstract

Caltech-UCSD Birds 200 (CUB-200) is a challenging image dataset annotated with 200 bird species. It was created to enable the study of subordinate categorization, which is not possible with other popular datasets that focus on basic level categories (such as PASCAL VOC, Caltech-101, etc). The images were downloaded from the website Flickr and filtered by workers on Amazon Mechanical Turk. Each image is annotated with a bounding box, a rough bird segmentation, and a set of attribute labels.

Published
2010

42. Discriminative Feature Co-Occurrence Selection for Object Detection.

Author

Mita, Takeshi, Kaneko, Toshimitsu, Stenger, Björn, and Hori, Osamu

Subjects
*COMPUTER vision, *ARTIFICIAL intelligence, *IMAGE processing, *PATTERN recognition systems, *COMPUTER algorithms, *IMAGING systems, *IMAGE analysis
Abstract

This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential Forward Selection at each stage of the boosting process. The selected feature co-occurrences are capable of extracting structural similarities of target objects leading to better performance. The proposed method is a generalization of the framework proposed by Viola and Jones, where each weak classifier depends only on a single feature. Experimental results obtained using four object detectors for finding faces and three different hand poses, respectively, show that detectors trained with the proposed algorithm yield consistently higher detection rates than those based on their framework while using the same number of features. [ABSTRACT FROM AUTHOR]

Published
2008
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47. Analysis of neuronal cells of dissociated primary culture on high-density CMOS electrode array.

Author

Matsuda E, Mita T, Hubert J, Bakkum D, Frey U, Hierlemann A, Takahashi H, and Ikegami T

Subjects
Action Potentials physiology, Animals, Cells, Cultured, Electrodes, Entropy, Nerve Net physiology, Neural Networks, Computer, Rats, Rats, Wistar, Metals chemistry, Neurons physiology, Oxides chemistry, Semiconductors
Abstract

Spontaneous development of neuronal cells was recorded around 4-34 days in vitro (DIV) with high-density CMOS array, which enables detailed study of the spatio-temporal activity of neuronal culture. We used the CMOS array to characterize the evolution of the inter-spike interval (ISI) distribution from putative single neurons, and estimate the network structure based on transfer entropy analysis, where each node corresponds to a single neuron. We observed that the ISI distributions gradually obeyed the power law with maturation of the network. The amount of information transferred between neurons increased at the early stage of development, but decreased as the network matured. These results suggest that both ISI and transfer entropy were very useful for characterizing the dynamic development of cultured neural cells over a few weeks.

Published
2013
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