Physical reservoir computing is a form of neuromorphic computing that harvests the dynamic
properties of materials for high-efficiency computing. A wide range of physical systems can …

Delay-based reservoir computing has gained a lot of attention due to the relative simplicity
with which this concept can be implemented in hardware. However, unnecessary constraints …

Numerical evaluations of the memory capacity (MC) of recurrent neural networks reported in
the literature often contradict well-established theoretical bounds. In this paper, we study the …

The notion of memory capacity, originally introduced for echo state and linear networks with
independent inputs, is generalized to nonlinear recurrent networks with stationary but …

The exploitation of the full structure of multimode light fields enables compelling capabilities
in many fields including classical and quantum information science. We exploit data …

Delay-based reservoir computing (RC) offers a conceptually simple approach to construct
an RC system, often requiring only few components. Within this framework, one sequentially …

Delay-based reservoir computing is an unconventional information processing method that
allows the implementation of recurrent neural networks on different kinds of hardware …

The main focus of this manuscript is the investigation of the dynamics of optical frequency
combs. Based on a spectral modal decomposition of the electric field, a full characterization …

Machines, computers, and algorithms appear recurrently in the future imagined in science
fiction pieces. Terminator's Skynet, Space Odyssey's HAL 9000, Psychohistory of Asimov's …

Optimizing photonic reservoir computers from input to output layer Page 1 Vrije Universiteit
Brussel Optimizing photonic reservoir computers from input to output layer Bauwens, Ian …