2 papers
cs.NE2025
Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture
Thomas F Burns, Tomoki Fukai, Christopher J Earls
Large language models (LLMs) demonstrate an impressive ability to utilise information within the context of their input sequences to appropriately respond to data unseen by the LLM…
eess.SP2024
convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data
Roman Koshkin, Tomoki Fukai
Spontaneous neural activity, crucial in memory, learning, and spatial navigation, often manifests itself as repetitive spatiotemporal patterns. Despite their importance, analyzing…