Unsupervised Segmentation With Dynamical Units

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On the Binding Problem in Artificial Neural Networks (2020, neutral): “, 1992) or via Hebbian learning (Rao et al., 2008).”
Tagger: Deep Unsupervised Perceptual Grouping (2016, methodology): “Rather, complex values have been used to model oscillating activations using the phase as soft tags for synchronization [18, 20].”
Neural Expectation Maximization (2017, methodology): “tasks.3 The Binding problem was ﬁrst considered in the context of Neuroscience [21, 37] and has sparked some early work in oscillatory neural networks that use synchronization as a grouping mechanism [36, 38, 24]. Later, complex valued activations have been used to replace the explicit simulation of”
Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation (2019, background): “(Wang & Terman, 1995; Rao et al., 2008; Reichert & Serre, 2014) use neuronal synchrony as the mechanism and segregate objects based on simulated phases of neurons.”
Binding via Reconstruction Clustering (2015, background): “Taken from Rao et al. (2008).”
Neuronal Synchrony in Complex-Valued Deep Networks (2013, methodology): “A model of binding by synchrony in a multi-layer network is proposed by Rao et al. (2008) and Rao & Cecchi (2010; 2011).”