The paradigm of voxel-based soft robots has allowed to shift the complexity from the control
algorithm to the robot morphology itself. The bodies of voxel-based soft robots are extremely …

Real neural system usually contains two types of neurons, ie, excitatory neurons and
inhibitory ones. Analytical and numerical interpretation of dynamics induced by different …

We introduce ReservoirComputing. jl, an open source Julia library for reservoir computing
models. It is designed for temporal or sequential tasks such as time series prediction and …

There is evidence that biological systems, such as the brain, work at a critical regime robust
to noise, and are therefore able to remain in it under perturbations. In this work, we address …

Reservoir Computing (RC) is a paradigm in artificial intelligence where a recurrent neural
network (RNN) is used to process temporal data, leveraging the inherent dynamical …

In the hippocampal dentate gyrus (DG), pattern separation mainly depends on the concepts
of 'expansion recoding', meaning random mixing of different DG input channels. However …

We present a system for growing graphs which can be thought of as an extension of the
update rules used by Cellular Automata. As in Neural Cellular Automata, these rules are …

Abstract Reservoir Computing with Cellular Automata (ReCA) is a promising concept by
virtue of its potential for efficient hardware implementation and theoretical understanding of …

Up until now, studies of Kauffman network stability have focused on the conditions resulting
from the structure of the network. Negative feedbacks have been modeled as ice (nodes that …

The aim of this work is to generate specific rules of deterministic and stochastic cellular
automata (CA) using the set of five quantum gates, which is known to generate any quantum …