BDR researchers coming from diverse research fields are working together to achieve higher goals.

Seminars & Symposia

Seminars & Symposia

BDR hosts annual symposium and regular seminars inviting international scientists in life science.

Careers & Study

Careers & Study

BDR embraces people from diverse backgrounds, and strives to create an open and supportive setting for research.



BDR communicates the appeal and significance of our research to society through the use of various media and activities.



From research, events, people and everything in between, find out what’s going on at RIKEN BDR.

About Us

About Us

Exploring the scientific foundations of life through interdisciplinary approaches to address society’s problems.

Photo of Team leder, Koichi Takahashi

Team Leader
Koichi Takahashi Ph.D.

Laboratory for Biologically Inspired Computing

LocationKobe / Integrated Innovation Bldg

        and  Osaka / Quantitative Biology Buildings


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Accelerating life sciences by combining simulation, robotics and brain-inspired AI

We are pursuing two different but mutually interconnected research interests: research and development of biologically inspired computing architectures including artificial neural networks and applying such advanced information processing technologies to life science research. More specifically, we are working on development of BriCA (Brain-inspired Computing Architecture), a high-performance software platform for brain-inspired computing, development of high-performance genome-scale simulation software platform E-Cell System, and automating various processes in biological experiments by combining robotics and AI.

Research Theme

  • Genome-scale cell simulation software platform
  • Robotic biology
  • Brain-inspired computing architectures

Selected Publications

Kanda GN, Tsuzuki T, Terada M, et al.
Robotic search for optimal cell culture in regenerative medicine.
eLife 11, e77007 (2022) doi: 10.7554/eLife.77007

Ochiai K, Motozawa N, Terada M, et al.
A Variable Scheduling Maintenance Culture Platform for Mammalian Cells.
SLAS technology 26(2), 209-217 (2021) doi: 10.1177/2472630320972109

Watabe M, Yoshimura H, Arjunan SNV, et al.
Signaling activations through G-protein-coupled-receptor aggregations.
Phys Rev E. 102, 032413 (2020) doi: 10.1103/PhysRevE.102.032413

Yachie N, Natsume T, Takahashi K, et al.
Robotic crowd biology with Maholo LabDroids.
Nature Biotechnology 35(4), 310-312 (2017) doi: 10.1038/nbt.3758

Yamakawa H, Arakawa N, Takahashi K, et al.
Reinterpreting The Cortical Circuit
Pre-proceedings of the IJCAI-17 Workshop on Architectures for Generality & Autonomy (2017)

Iwamoto K, Shindo Y, Takahashi K.
Modeling Cellular Noise Underlying Heterogeneous Cell Responses in the Epidermal Growth Factor Signaling Pathway.
Plos Computational Biology 12(11), e1005222 (2016) doi: 10.1371/journal.pcbi.1005222

Itaya K, Takahashi K, Nakamura M, et al.
BriCA: A modular software platform for whole brain architecture
Neural information processing – 23rd international conference, ICONIP (2016)

Shindo Y, Iwamoto K, Mouri K, et al.
Conversion of graded phosphorylation into switch-like nuclear translocation via autoregulatory mechanisms in ERK signalling.
Nature Communications 7, 10485 (2016) doi: 10.1038/ncomms10485

Karr JR, Takahashi K, Funahashi A.
The principles of whole-cell modeling.
Current Opinion in Microbiology 27, 18-24 (2015) doi: 10.1016/j.mib.2015.06.004

Watabe M, Arjunan SNV, Fukushima S, et al.
A Computational Framework for Bioimaging Simulation.
Plos One 10(7), e0130089 (2015) doi: 10.1371/journal.pone.0130089

Shimo H, Arjunan SNV, Machiyama H, et al.
Particle Simulation of Oxidation Induced Band 3 Clustering in Human Erythrocytes.
Plos Computational Biology 11(6), UNSP e1004 (2015) doi: 10.1371/journal.pcbi.1004210

Kaizu K, de Ronde W, Paijmans J, et al.
The Berg-Purcell Limit Revisited.
Biophysical Journal 106(4), 976-985 (2014) doi: 10.1016/j.bpj.2013.12.030

Hihara S, Pack CG, Kaizu K, et al.
Local Nucleosome Dynamics Facilitate Chromatin Accessibility in Living Mammalian Cells.
Cell Reports 2(6), 1645-1656 (2012) doi: 10.1016/j.celrep.2012.11.008