Abstract
The main objective of this work is to analyze the computing capabilities of human neuroblastoma cultured cells and to define connection schemes for controlling a robot behavior. Multielectrode Array (MEA) setups have been designed for direct culturing neural cells over silicon or glass substrates, providing the capability to stimulate and record simultaneously populations of neural cells. This paper describes the process of growing human neuroblastoma cells over MEA substrates and tries to modulate the natural physiologic responses of these cells by tetanic stimulation of the culture. We show that the large neuroblastoma networks developed in cultured MEAs are capable of learning: establishing numerous and dynamic connections, with modifiability induced by external stimuli and we propose an hybrid system for controlling a robot to avoid obstacles.
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Ferrández, J.M., Lorente, V., Cuadra, J.M., delaPaz, F., Álvarez-Sánchez, J.R., Fernández, E. (2010). A Hybrid Robotic Control System Using Neuroblastoma Cultures. In: Graña Romay, M., Corchado, E., Garcia Sebastian, M.T. (eds) Hybrid Artificial Intelligence Systems. HAIS 2010. Lecture Notes in Computer Science(), vol 6076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13769-3_30
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DOI: https://doi.org/10.1007/978-3-642-13769-3_30
Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-642-13769-3
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