adaptive currents 1hierarchical networks 1motor control learning 1prospective neurons 1teaching signal synchronization 1working memory 1
From the 1 of 2 linked papers with an AI index.
2 papers
q-bio.NC2026
Teaching signal synchronization in deep neural networks with prospective neurons
Nicolas Zucchet, Qianqian Feng, Axel Laborieux +3
The paper proposes adding an adaptive current to neurons so they can predict future inputs, allowing teaching signals to stay synchronized with slowly integrating, hierarchically o…
q-bio.NC2024
Theories of synaptic memory consolidation and intelligent plasticity for continual learning
Friedemann Zenke, Axel Laborieux
Humans and animals learn throughout life. Such continual learning is crucial for intelligence. In this chapter, we examine the pivotal role plasticity mechanisms with complex inter…