Correcting the hebbian mistake: Toward a fully error-driven hippocampus
The hippocampus plays a critical role in the rapid learning of new episodic memories. Many
computational models propose that the hippocampus is an autoassociator that relies on …
computational models propose that the hippocampus is an autoassociator that relies on …
Expanding continual few-shot learning benchmarks to include recognition of specific instances
G Kowadlo, A Ahmed, A Mayan, D Rawlinson - Plos one, 2024 - journals.plos.org
Continual learning and few-shot learning are important frontiers in progress toward broader
Machine Learning (ML) capabilities. Recently, there has been intense interest in combining …
Machine Learning (ML) capabilities. Recently, there has been intense interest in combining …
Continual few-shot learning with hippocampal-inspired replay
Continual learning and few-shot learning are important frontiers in the quest to improve
Machine Learning. There is a growing body of work in each frontier, but very little combining …
Machine Learning. There is a growing body of work in each frontier, but very little combining …
One-shot learning for the long term: consolidation with an artificial hippocampal algorithm
Standard few-shot experiments involve learning to efficiently match unseen samples by
class. We claim that few-shot learning should be long term, assimilating knowledge for the …
class. We claim that few-shot learning should be long term, assimilating knowledge for the …
[PDF][PDF] A Survey of Trends in Hippocampal-Formation Inspired Computational Models
A Verma, A Taniguchi, H Yamakawa - researchgate.net
This survey paper reviews the current trends and developments in hippocampal-formation-
inspired computational models within the field of artificial intelligence (AI). The …
inspired computational models within the field of artificial intelligence (AI). The …