Reservoir Computing

Neural networks are currently transforming the field of computer algorithms, yet their emulation on current computing substrates is highly inefficient. Reservoir computing was successfully implemented on a large variety of substrates and gave new …

Neural networks are transforming the field of computer algorithms, yet their emulation on current computing substrates is highly inefficient. Reservoir computing was successfully implemented on a large variety of substrates and gave new insight in …

In this work, we propose a new approach towards the efficient optimization and implementation of reservoir computing hardware reducing the required domain expert knowledge and optimization effort. First, we adapt the reservoir input mask to the …

Conceiving next-generation computing principles inspired by biological systems such as the human brain.

The motivation behind our research in dynamical systems is an implementation of brain-inspired hardware. In the first part of the talk, we discuss the emergence of complex patterns in a nonlinear delay oscillator. Those self-organized formations …