16 citations · 62 across the 13 of their papers we have counts for
3 papers · 1 filter
Guided Self-Organization of Input-Driven Recurrent Neural Networks
Oliver Obst, Joschka Boedecker
We review attempts that have been made towards understanding the computational properties and mechanisms of input-driven dynamical systems like RNNs, and reservoir computing networ…
Nano-scale reservoir computing
Oliver Obst, Adrian Trinchi, Simon G. Hardin +8
This work describes preliminary steps towards nano-scale reservoir computing using quantum dots. Our research has focused on the development of an accumulator-based sensing system…
On active information storage in input-driven systems
Oliver Obst, Joschka Boedecker, Benedikt Schmidt +1
Information theory and the framework of information dynamics have been used to provide tools to characterise complex systems. In particular, we are interested in quantifying inform…