Meta-learning synaptic plasticity and memory addressing for continual familiarity detection

• Published in: Neuron (Cambridge, Mass.) Vol. 110; no. 3; pp. 544 - 557.e8
• Main Authors: Tyulmankov, Danil, Yang, Guangyu Robert, Abbott, L.F.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 02.02.2022
• Subjects: addressing; anti-Hebbian; continual learning; deep learning; familiarity; Longitudinal Studies; Machine Learning; memory; meta-learning; neural networks; Neuronal Plasticity - physiology; Neurons - physiology; recognition; Recognition, Psychology - physiology; synaptic plasticity; anti-Hebbian; deep learning; addressing; familiarity; memory; continual learning; meta-learning; neural networks; recognition; synaptic plasticity

Over the course of a lifetime, we process a continual stream of information. Extracted from this stream, memories must be efficiently encoded and stored in an addressable manner for retrieval. To explore potential mechanisms, we consider a familiarity detection task in which a subject reports whethe...