Abstract
In order to extract learning algorithms from living neural aggregates it would be advantageous to achieve one-to-one neuron-electrode interfacing with in vitro networks. Towards this goal, we have developed a hybrid glass-elastomer technology, which allows topology specification in small networks (of the order of 10 neurons) and recording of extracellular potentials from individual neurites grown through microfluidic channels. Here we report on progress towards adhesion-free placement of cells within microwells, promotion of neurite growth and recording of intra-channel extracellular spikes.
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© 2005 Springer-Verlag Berlin Heidelberg
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Claverol-Tinturé, E., Rosell, X., Cabestany, J. (2005). Interfacing with Patterned in Vitro Neural Networks by Means of Hybrid Glass-Elastomer Neurovectors: Progress on Neuron Placement, Neurite Outgrowth and Biopotential Measurements. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_53
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DOI: https://doi.org/10.1007/11494669_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26208-4
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