The ART of Adaptive Pattern Recognition by a Self-Organizing Neural Network

By Gail A. Carpenter, Stephen Grossberg. 1988

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Citations in the corpus

Synaptic weight decay with selective consolidation enables fast learning without catastrophic forgetting (2019, background): “This problem is known as the stability-plasticity dilemma, and mechanisms at the network and synapse level have been proposed to tackle it (Abraham and Robins, 2005; Fusi et al., 2005; Carpenter and Grossberg, 1988).”
Catastrophic Forgetting and the Pseudorehearsal Solution in Hopfield-type Networks (1998, background): “One consequence of a failure to address the `stability/plasticity dilemma’ ( Carpenter & Grossberg, 1988; Grossberg, 1987) in many neural networks is excessive plasticity, usually called `catastrophic forgetting’ (or `catastrophic interference’ or the `serial learning problem’).”
Consolidation in Neural Networks and in the Sleeping Brain (1996, background): “One consequence of a failure to address this " stability / plasticity dilemma " (Grossberg, 1987; Carpenter & Grossberg, 1988) in many neural networks is excessive plasticity, usually called " catastrophic forgetting " (or " catastrophic interference " ).”
A self-organising network that grows when required (2002, background): “A more complex example of this type of network is the Adaptive Resonance Theory network (ART) (Carpenter & Grossberg, 1988).”
On-line novelty detection for autonomous mobile robots (2005, methodology): “Their work also considered recognising that objects were novel, so that the robot arm would pick them up. This was done by taking the output of an ART network [ 8 ], which performs classification, and feeding it into a network of gated dipoles.”
Nonparametric Bayesian Deep Networks with Local Competition (2018, background): “In addition, this type of network organization has been argued to give rise to a number of interesting properties, including automatic gain control, noise suppression, and prevention of catastrophic forgetting in online learning (Srivastava et al., 2013; Grossberg, 1988; McCloskey & Cohen, 1989).”
Cocaine and Chest Pain (1992, unknown): “Examples of this type of learning are Kohonen learning [38] and the Adaptive Resonance Theory (ART) [44].”