Authors:
José M. Ferrández
1
;
Victor Lorente
1
;
Félix de la Paz
2
;
José Manuel Cuadra
2
;
José R. Álvarez-Sánchez
2
and
Eduardo Fernández
3
Affiliations:
1
Univ. Politécnica de Cartagena, Spain
;
2
UNED, Spain
;
3
Univ. Miguel Hernández de Elche and CIBER-BBN, Spain
Keyword(s):
Cultured neural network, Induced plasticity, Multielectrode recordings, Robotic control.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Bio-Inspired and Humanoid Robotics
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Learning Paradigms and Algorithms
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neuroinformatics and Bioinformatics
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
Learning in a biological neuroprocessor is analyzed using human neuroblastoma cultures and a center of area method in order to guide a robot to follow the light or the brightest area in a limited scenario. The main setup consists in an inverted microscope where a multielectrode array is attached with the biological cultures. This elements amplifies and send the weak neural signals to a D/A card where analyzing process is achieved, computing the movement of the robot, that is remotely linked to this computer. The robot also sends the a picture of the scenario to the computer in order to stimulate the culture with a center of area scheme. In this paper, it is shown that learning is possible in this culture, and guiding the robot to a desired goal is a feasible task.