Rahimi, Abbas and Kanerva, Pentti and Millán, José del R. and Rabaey, Jan M. (2017) Hyperdimensional Computing for Noninvasive Brain–Computer Interfaces: Blind and One-Shot Classification of EEG Error-Related Potentials. In: 10th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS).
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Abstract
Computing with high-dimensional (HD) vectors, referred to as "hypervectors," is a brain-inspired alternative to computing with numbers. HD computing is characterized by generality, scalability, robustness, and fast learning, making it a prime candidate for utilization in application domains such as
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 11:03 |
| Last Modified: | 17 Apr 2026 17:10 |
| URI: | http://eprints.eai.eu/id/eprint/16653 |
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