Extendible Hardware Platform for Reservoir Computing in materio

Research output: Contribution to conferencePaperpeer-review




ConferenceInternational Conference on Unconventional Computation and Natural Computation
Abbreviated titleUCNC
CountryUnited States
Conference date(s)5/06/179/06/17
Internet address

Publication details

DateAccepted/In press - 2017
DatePublished (current) - 2017
Original languageEnglish


We have shown that the theoretical framework of Reservoir Computing (RC) can be applied to in materio computing as a computational layer able to extract exploitable information from physical substrates. However, a physical performance limitation of our current system is the number of interfacing electrodes to the material. We have designed and built a new hardware platform that in- creases the previous 12 electrode system to a 64 multi-purpose electrode system. This extra flexibility allows improved performance.

    Research areas

  • evolution in materio, unconventional computing, natural computation, Carbon Nanotubes (CNTs), evolvable hardware

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