Towards making a cyborg: A closed-loop reservoir-neuro system

Peter Aaser, Martinius Knudsen, Ola Huse Ramstad, Rosanne van de Wijdeven, Stefano Nichele, Ioanna Sandvig, Gunnar Tufte, Ulrich Stefan Bauer, Øyvind Halaas, Sverre Hendseth, Axel Sandvig, Vibeke Valderhaug
<span title="">2017</span> <i title="MIT Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3a3rcmfryvdyviiewtmf62khs4" style="color: black;">Proceedings of the 14th European Conference on Artificial Life ECAL 2017</a> </i> &nbsp;
The human brain is a remarkable computing machine, i.e. vastly parallel, self-organizing, robust, and energy efficient. To gain a better understanding into how the brain works, a cyborg (cybernetic organism, a combination of machine and living tissue) is currently being made in an interdisciplinary effort, known as the Cyborg project. In this paper we describe how living cultures of neurons (biological neural networks) are successfully grown in-vitro over Micro-Electrode Arrays (MEAs), which
more &raquo; ... ow them to be interfaced to a robotic body through electrical stimulation and neural recordings. Furthermore, we describe the bio-and nano-technological procedures utilized for the culture of such dissociated neural networks and the interface software and hardware framework used for creating a closed-loop hybrid neuro-system. A Reservoir Computing (RC) approach is used to harness the computational power of the neuronal culture.
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