no code implementations • 2 Jun 2023 • Jacob Morra, Andrew Flynn, Andreas Amann, Mark Daley
Compared to the widely-used Erd\"os-Renyi Reservoir Computer (ERRC), we report that the FFRC exhibits a greater capacity for multifunctionality; is multifunctional across a broader hyperparameter range; and solves the seeing double problem far beyond the previously observed spectral radius limit, wherein the ERRC's dynamics become chaotic.
no code implementations • 5 Jun 2022 • Jacob Morra, Mark Daley
We report an improvement to the conventional Echo State Network (ESN) across three benchmark chaotic time-series prediction tasks using fruit fly connectome data alone.
no code implementations • 23 Jan 2022 • Jacob Morra, Mark Daley
We train and validate the FFESN on a chaotic time series prediction task; here we consider four sets of trials with different training input sizes (small, large) and train-validate splits (two variants).
1 code implementation • 8 Feb 2019 • Ethan C. Jackson, Mark Daley
In this paper, we introduce and evaluate the use of novelty search over agent action sequences by string edit metric distance as a means for promoting innovation.
no code implementations • 3 Feb 2018 • Ethan C. Jackson, James Alexander Hughes, Mark Daley
In contrast to conventional, univariate analysis, various types of multivariate analysis have been applied to functional magnetic resonance imaging (fMRI) data.