Abstract
Through a range of laboratory experiments, we measure plasmodial membrane potential via a non-invasive method and use this signal to interface the organism with a digital system. This digital system was demonstrated to perform predefined basic arithmetic operations and is implemented in a field-programmable gate array (FPGA). These basic arithmetic operations, i.e. counting, addition, multiplying, use data that were derived by digital recognition of membrane potential oscillation and are used here to make basic hybrid biological-artificial sensing devices. We present here a low-cost, energy efficient and highly adaptable platform for developing next-generation machine-organism interfaces. These results are therefore applicable to a wide range of biological/medical and computing/electronics fields.
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Acknowledgments
The authors gratefully acknowledge funding from the European Union Commission’s Seventh Framework Programme (grant agreement number 316366, “Physarum Chip”).
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Mayne, R., Tsompanas, MA., Sirakoulis, G.C., Adamatzky, A. (2016). Towards a Slime Mould-FPGA Interface. In: Adamatzky, A. (eds) Advances in Physarum Machines. Emergence, Complexity and Computation, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-319-26662-6_15
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DOI: https://doi.org/10.1007/978-3-319-26662-6_15
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