Event Abstract Back to Event Tools for Defined Neural Networks on Multielectrode Arrays Serge Weydert1*, Greta Thompson-Steckel1, Harald Dermutz2, Hana Han1, Mathias Aebersold1, Csaba Forró1, Aline Renz1, Klas Tybrandt1, Tomaso Zambelli2 and Janos Voeroes1 1 ETH Zurich, Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, Switzerland 2 ETH Zürich, Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, Switzerland Motivation Deciphering the programming logic of the brain is one of the fundamental unsolved problems in neuroscience. In this work, we present a tool for approaching this challenge in a bottom-up manner. It represents a first step towards building topologically well-defined artificial neural networks on chips. Methods Using an atomic force microscope modified with a fluidic channel (FluidFM [1-4]) and a dynamic system of biomolecular coatings, we are able to perform living cell printing [7] and axon guidance [1] for forming unidirectional neuronal connections between network nodes. A hollow cantilever connected to a fluid chamber and a pressure reservoir deposits arbitrary solutions in the shape of confined spots (reliable minimum spot size of 3-5 µm), lines or any pattern on any flat surface. Using the FluidFM, it was possible to "write" adhesion promoting and growth signaling molecules in a highly dynamic and flexible manner and locally modify the adhesion properties in situ, i.e. by writing poly(L-lysine) to locally replace poly(L-lysine)-g-poly(ethylene glycol) [1,5]. In parallel, our aim is to also compare network activity at a single cell level to that at a population scale. As part of our approach, we have integrated structurally patterned neuronal circuits grown on a 3D scaffold with a custom-made MEA chip designed to improve the neuro-electronic interface [8,9] and to allow for high-throughput analysis. Results Once the adhesive landing spots are written and successfully occupied by cells after one day in vitro, the growth direction of interconnecting axons was successfully controlled by modifying the surface on the paths between the neurons sequentially in situ. We could confirm that the neurites growing on the controlled paths were mostly axons. Correlated activity of the neuron clusters was shown by a calcium indicator. Discussion and Conclusion The described system is a tool for neuroscientists who are interested in engineering simple well-defined neurologic circuits step-by-step and understanding functional activity by electrically stimulating and analyzing with multielectrode arrays. Despite its current limitations in scalability and usage complexity, it is a first and important step towards bottom-up neuroscience. Keywords: neural networks, Micoelectrode arrays Conference: MEA Meeting 2016 | 10th International Meeting on Substrate-Integrated Electrode Arrays, Reutlingen, Germany, 28 Jun - 1 Jul, 2016. Presentation Type: Poster Presentation Topic: MEA Meeting 2016 Citation: Weydert S, Thompson-Steckel G, Dermutz H, Han H, Aebersold M, Forró C, Renz A, Tybrandt K, Zambelli T and Voeroes J (2016). Tools for Defined Neural Networks on Multielectrode Arrays. Front. Neurosci. Conference Abstract: MEA Meeting 2016 | 10th International Meeting on Substrate-Integrated Electrode Arrays. doi: 10.3389/conf.fnins.2016.93.00115 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 22 Jun 2016; Published Online: 24 Jun 2016. * Correspondence: Dr. Serge Weydert, ETH Zurich, Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, Zurich, Switzerland, weydert@biomed.ee.ethz.ch Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Serge Weydert Greta Thompson-Steckel Harald Dermutz Hana Han Mathias Aebersold Csaba Forró Aline Renz Klas Tybrandt Tomaso Zambelli Janos Voeroes Google Serge Weydert Greta Thompson-Steckel Harald Dermutz Hana Han Mathias Aebersold Csaba Forró Aline Renz Klas Tybrandt Tomaso Zambelli Janos Voeroes Google Scholar Serge Weydert Greta Thompson-Steckel Harald Dermutz Hana Han Mathias Aebersold Csaba Forró Aline Renz Klas Tybrandt Tomaso Zambelli Janos Voeroes PubMed Serge Weydert Greta Thompson-Steckel Harald Dermutz Hana Han Mathias Aebersold Csaba Forró Aline Renz Klas Tybrandt Tomaso Zambelli Janos Voeroes Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.
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