Neural Bookmarks: Information Retrieval with Deep Learning and EEG Data

Authors

  • Glenn Bruns California State University, Monterey Bay
  • Michael Haidar California State University, Monterey Bay

DOI:

https://doi.org/10.1609/aaai.v38i21.30322

Keywords:

Deep Learning and Neural Networks , Bioinformatics, Information and Knowledge Access , Multidisciplinary Topics and Applications , Track: Emerging Applications

Abstract

In neural memory decoding, a concept being mentally recalled is identified using brain data. Recently, the feasibility of neural memory decoding with EEG data has been demonstrated. Here we propose a new application – neural information retrieval – that uses neural memory decoding to allow a document to be retrieved merely by thinking about it. In this paper we describe neural memory decoding, define the application of neural information retrieval, present experimental results related to the practicality of the application, and discuss issues of deployment and data privacy.

Published

2024-03-24

How to Cite

Bruns, G., & Haidar, M. (2024). Neural Bookmarks: Information Retrieval with Deep Learning and EEG Data. Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 22864-22870. https://doi.org/10.1609/aaai.v38i21.30322