Takashi Ikegami
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Explore the profile of Takashi Ikegami including associated specialties, affiliations and a list of published articles.
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68
Citations
446
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Recent Articles
1.
Takata R, Masumori A, Ikegami T
Entropy (Basel)
. 2025 Jan;
26(12.
PMID: 39766721
We study the emergence of agency from scratch by using Large Language Model (LLM)-based agents. In previous studies of LLM-based agents, each agent's characteristics, including personality and memory, have traditionally...
2.
Revealing gene expression heterogeneity in a clonal population of through single-cell RNA sequencing
Kojima H, Kashiwagi A, Ikegami T
Biochem Biophys Rep
. 2024 May;
38:101720.
PMID: 38711548
We performed single-cell RNA sequencing (scRNA-seq) on a population of 5,000 , using the 10x Genomics 3' gene expression analysis, to investigate gene expression variability within this clonal population. Initially,...
3.
Stano P, Nehaniv C, Ikegami T, Damiano L, Witkowski O
Biosystems
. 2023 Aug;
232:105008.
PMID: 37619925
No abstract available.
4.
Masumori A, Ikegami T
Biosystems
. 2023 Jul;
232:104972.
PMID: 37473956
The concept of Learning by Stimulus Avoidance (LSA) has been proposed in recent literature, and the methods of avoiding stimuli: action, prediction, and separation appear to align well with the...
5.
Doi I, Deng W, Ikegami T
Sci Rep
. 2023 Jul;
13(1):11015.
PMID: 37419944
Social entrainment is important for functioning of beehive organization. By analyzing a dataset of approximately 1000 honeybees (Apis mellifera) tracked in 5 trials, we discovered that honeybees exhibit synchronized activity...
6.
Froese T, Weber N, Shpurov I, Ikegami T
Biosystems
. 2023 Jun;
230:104959.
PMID: 37380066
The theory of autopoiesis has been influential in many areas of theoretical biology, especially in the fields of artificial life and origins of life. However, it has not managed to...
7.
Kojima H, Ikegami T
Neural Netw
. 2022 May;
152:234-243.
PMID: 35561527
We present a novel artificial cognitive mapping system using generative deep neural networks, called variational autoencoder/generative adversarial network (VAE/GAN), which can map input images to latent vectors and generate temporal...
8.
Kojima H, Chen D, Oka M, Ikegami T
Front Psychol
. 2021 Jun;
12:641927.
PMID: 34108909
Social presence, or the subjective experience of being present with another existing person, varies with the interaction medium. In general, social presence research has mainly focused on uni-directional aspects of...
9.
Kojima H, Mitsui Y, Ikegami T
Chaos
. 2021 Apr;
31(3):033111.
PMID: 33810725
By using low-dimensional chaotic maps, the power-law relationship established between the sample mean and variance called Taylor's Law (TL) is studied. In particular, we aim to clarify the relationship between...
10.
Masumori A, Maruyama N, Ikegami T
Front Robot AI
. 2021 Feb;
7:532375.
PMID: 33537344
In this study, we report the investigations conducted on the mimetic behavior of a new humanoid robot called Alter3. Alter3 autonomously imitates the motions of a person in front of...