Criticality is the singular state of complex systems poised at the brink of a phase transition
between order and randomness. Such systems display remarkable information-processing …

Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …

Understanding the fundamental relationships between physics and its information-
processing capability has been an active research topic for many years. Physical reservoir …

A celebrated and controversial hypothesis suggests that some biological systems—parts,
aspects, or groups of them—may extract important functional benefits from operating at the …

Cognitive function requires the coordination of neural activity across many scales, from
neurons and circuits to large-scale networks. As such, it is unlikely that an explanatory …

Mounting evidence suggests that during conscious states, the electrodynamics of the cortex
are poised near a critical point or phase transition and that this near-critical behavior …

As semiconductor technology enters the more than Moore era, there exists an apparent
contradiction between the rapidly growing demands for data processing and the visible …

Neural computations are currently investigated using two separate approaches: sorting
neurons into functional subpopulations or examining the low-dimensional dynamics of …

Artificial intelligence (AI) is gaining strength, and materials science can both contribute to
and profit from it. In a simultaneous progress race, new materials, systems, and processes …

In this paper, we provide a novel approach to the architectural design of deep Recurrent
Neural Networks using signal frequency analysis. In particular, focusing on the Reservoir …