Metaplasticity - Open Access .click

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Neuromimetic metaplasticity for adaptive continual learning [PDF]

arXiv
Conventional intelligent systems based on deep neural network (DNN) models encounter challenges in achieving human-like continual learning due to catastrophic forgetting. Here, we propose a metaplasticity model inspired by human working memory, enabling DNNs to perform catastrophic forgetting-free continual learning without any pre- or post-processing.
arxiv

Metaplasticity of Mossy Fiber Synaptic Transmission Involves Altered Release Probability [PDF]

, 2000
Ivan Goussakov +3 more
openalex +1 more source

Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks [PDF]

arXiv
The ability to learn continuously in artificial neural networks (ANNs) is often limited by catastrophic forgetting, a phenomenon in which new knowledge becomes dominant. By taking mechanisms of memory encoding in neuroscience (aka. engrams) as inspiration, we propose a novel approach that integrates stochastically-activated engrams as a gating ...
arxiv

Bayesian continual learning and forgetting in neural networks [PDF]

arXiv
Biological synapses effortlessly balance memory retention and flexibility, yet artificial neural networks still struggle with the extremes of catastrophic forgetting and catastrophic remembering. Here, we introduce Metaplasticity from Synaptic Uncertainty (MESU), a Bayesian framework that updates network parameters according their uncertainty.
arxiv

Metaplastic transformation of tissue cell in Wolffian lens regeneration

, 1969
Goro Eguchi
openalex +2 more sources

Human defensin 5 is stored in precursor form in normal Paneth cells and is expressed by some villous epithelial cells and by metaplastic Paneth cells in the colon in inflammatory bowel disease [PDF]

, 2001
Robert Cunliffe
openalex +1 more source

Competitive Perceptrons: The Relevance of Modeling New Bioinspired Properties Such as Intrinsic Plasticity, Metaplasticity, and Lateral Inhibition of Rate-Coding Artificial Neurons. [PDF]