Episodic Memory Theory for the Mechanistic Interpretation of Recurrent Neural Networks

Understanding the intricate operations of Recurrent Neural Networks (RNNs) mechanistically is pivotal for advancing their capabilities and applications. In this pursuit, we propose the Episodic Memory Theory (EMT), illustrating that RNNs can be conceptualized as discrete-time analogs of the recently...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2023-10
Hauptverfasser:	Karuvally, Arjun, Delmastro, Peter, Siegelmann, Hava T
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Binding Circuits Memory Neural networks Recurrent neural networks
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!