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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

ISBN: 978-989-8425-32-4

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.

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Paper citation in several formats:
M. Ferrández, J.; Lorente, V.; de la Paz, F.; Manuel Cuadra, J.; R. Álvarez-Sánchez, J. and Fernández, E. (2010). LEARNING IN BIOLOGICAL NEUROPROCESSORS USING A CENTER OF AREA METHOD.In Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010) ISBN 978-989-8425-32-4, pages 336-343. DOI: 10.5220/0003084003360343

@conference{icnc10,
author={José M. Ferrández. and Victor Lorente. and Félix de la Paz. and José Manuel Cuadra. and José R. Álvarez{-}Sánchez. and Eduardo Fernández.},
title={LEARNING IN BIOLOGICAL NEUROPROCESSORS USING A CENTER OF AREA METHOD},
booktitle={Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)},
year={2010},
pages={336-343},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003084003360343},
isbn={978-989-8425-32-4},
}

TY - CONF

JO - Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)
TI - LEARNING IN BIOLOGICAL NEUROPROCESSORS USING A CENTER OF AREA METHOD
SN - 978-989-8425-32-4
AU - M. Ferrández, J.
AU - Lorente, V.
AU - de la Paz, F.
AU - Manuel Cuadra, J.
AU - R. Álvarez-Sánchez, J.
AU - Fernández, E.
PY - 2010
SP - 336
EP - 343
DO - 10.5220/0003084003360343

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