On-line novelty detection for autonomous mobile robots

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Lifelong learning of human actions with deep neural network self-organization (2017, background): “…ϵn were selected on the basis of previous studies showing that these values yield an adequate network response (neural growth) and levels of stability (learning convergence) when exposed to both stationary and non-stationary input distributions (Marsland et al., 2005, 2002; Parisi et al., 2015).”
Intrinsic motivations and open-ended development in animals, humans, and robots: an overview (2014, background): “Mather (2013) brieﬂy reviews research related to the familiarity-to-novelty attention shift observed in babies, and, on this basis, highlights the challenges that this phenomenon poses to theories on IMs.”