Networks of Formal Neurons and Memory Palimpsests

By Jean-Pierre Nadal, G. Toulouse, Jean-Pierre Changeux, Stanislas Dehaene. 1986

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Citations in the corpus

Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression (2008, background): “the so-called palimpsest property [20,21].”
Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems (2014, background): “However, it is possible to avoid this effect, by building networks that can progressively forget old memories to make room for new ones, thus exhibiting the palimpsest property [80].”
Catastrophic Forgetting, Rehearsal and Pseudorehearsal (1995, unknown): “include Nadal, Toulouse, Changeux & Dehaene (1986) , and Burgess, Shapiro &”
Synaptic consolidation: an approach to long-term learning (2011, background): “This paradox is called the palimpsest paradox (Nadal et al. 1986; Amit and Fusi 1994).”
Catastrophic forgetting in simple networks: an analysis of the pseudorehearsal solution. (1999, background): “Similar issues have been explored in Hopfield networks [ 15 , 1, 20]§.”
Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics (2007, background): “When subject to these constraints old, memories are forgotten (palimpsest property—Parisi, 1986; Nadal, Toulouse, Changeux, & Dehaene, 1986).”
Catastrophic Forgetting and the Pseudorehearsal Solution in Hopfield-type Networks (1998, unknown): “Thank you all. iii Contents”
A palimpsest memory based on an incremental Bayesian learning rule (2000, background): “What is needed is learning where new patterns are stored on top of older ones which are gradually overwritten and become inaccessible, a so-called `palimpsest memorya [13].”