By the same authors

Reservoir Computing in materio with LEDs

Research output: Contribution to conferencePaperpeer-review




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

Publication details

DatePublished - 2017
Original languageEnglish


We have shown that the Reservoir Computing framework transfers to complex substrates, and that performance can increase significantly when we control and manipulate input-output mappings and external perturbation through computer-controlled evolution. We have implemented a new example of the hardware-based reservoir methodology. We have two new types of reservoirs based on Light Emitting Diodes (LEDs) and resistors. Results show that unconstrained computer-controlled evolution can exploit the net effect of variations in components (resistors and diodes) to form a single reservoir competitive to previous findings.

    Research areas

  • evolution in materio, Unconventional computing, evolvable hardware, natural computation, Carbon Nanotubes (CNTs), led diode

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