TY - JOUR
T1 - A Modular Biological Neural Network-Based Neuro-Robotic System via Local Chemical Stimulation and Calcium Imaging
AU - Chen, Zhe
AU - Chen, Xie
AU - Shimoda, Shingo
AU - Huang, Qiang
AU - Shi, Qing
AU - Fukuda, Toshio
AU - Sun, Tao
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - Embodying in vitro biological neural networks (BNNs) with robots to explore the rise of intelligence in these simpler models and to endow robots with biological intelligence has been attracting increasing attention in the fields of neuroscience and robotics. However, current research suffers from unstable sensory-motor mapping due to the random wiring of neurons seeded on multi-electrode arrays (MEAs). Therefore, here we propose a modular BNN (mBNN)-based neuro-robotic system via local chemical stimulation and calcium recording. In this system, reliable evoked sensory-motor mapping (success rate $> $ 89%) from the sensory to the motor area in the mBNN was demonstrated. It is achieved in the mBNNs by combining global chemical modulation (for suppressing spontaneous signal transmission) and local chemical stimulation (for inducing the evoked signal transmission). The neural signals of the motor area of the BNN are recorded by calcium imaging, analyzed, and decoded to control the motion state of the mobile robot in real-time. The sensory signals of the robot are encoded and transmitted to the sensory area of the BNN, closing the loop. This system presents a platform to investigate how information is processed and transmitted in mBNNs, and also to examine the influence of local and global chemical modulation on within-network signal transmission.
AB - Embodying in vitro biological neural networks (BNNs) with robots to explore the rise of intelligence in these simpler models and to endow robots with biological intelligence has been attracting increasing attention in the fields of neuroscience and robotics. However, current research suffers from unstable sensory-motor mapping due to the random wiring of neurons seeded on multi-electrode arrays (MEAs). Therefore, here we propose a modular BNN (mBNN)-based neuro-robotic system via local chemical stimulation and calcium recording. In this system, reliable evoked sensory-motor mapping (success rate $> $ 89%) from the sensory to the motor area in the mBNN was demonstrated. It is achieved in the mBNNs by combining global chemical modulation (for suppressing spontaneous signal transmission) and local chemical stimulation (for inducing the evoked signal transmission). The neural signals of the motor area of the BNN are recorded by calcium imaging, analyzed, and decoded to control the motion state of the mobile robot in real-time. The sensory signals of the robot are encoded and transmitted to the sensory area of the BNN, closing the loop. This system presents a platform to investigate how information is processed and transmitted in mBNNs, and also to examine the influence of local and global chemical modulation on within-network signal transmission.
KW - Neurorobotics
KW - biological neural networks
KW - cyborgs
KW - neuro-robotic systems
UR - http://www.scopus.com/inward/record.url?scp=85166779787&partnerID=8YFLogxK
U2 - 10.1109/LRA.2023.3301233
DO - 10.1109/LRA.2023.3301233
M3 - Article
AN - SCOPUS:85166779787
SN - 2377-3766
VL - 8
SP - 5839
EP - 5846
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
IS - 9
ER -
