Matthew Dale, Julian F. Miller, Susan Stepney, Martin A. Trefzer.
Reservoir Computing in materio with LEDs.

Poster abstracts, UCNC 2017, Fayetteville, Arkansas, USA, 2017


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.

  author = "Matthew Dale and Julian F. Miller and Susan Stepney and Martin A. Trefzer",
  title = "Reservoir Computing \emph {in materio} with LEDs",  
  crossref = "UCNC-2017-p"

  title = "Poster abstracts, UCNC 2017, Fayetteville, Arkansas, USA",
  booktitle = "Poster abstracts, UCNC 2017, Fayetteville, Arkansas, USA",
  year = 2017