| Literature DB >> 34116918 |
Xiaorong Gao1, Yijun Wang2, Xiaogang Chen3, Shangkai Gao4.
Abstract
A brain-computer interface (BCI) establishes a direct communication channel between a brain and an external device. With recent advances in neurotechnology and artificial intelligence (AI), the brain signals in BCI communication have been advanced from sensation and perception to higher-level cognition activities. While the field of BCI has grown rapidly in the past decades, the core technologies and innovative ideas behind seemingly unrelated BCI systems have never been summarized from an evolutionary point of view. Here, we review various BCI paradigms and present an evolutionary model of generalized BCI technology which comprises three stages: interface, interaction, and intelligence (I3). We also highlight challenges, opportunities, and future perspectives in the development of new BCI technology.Keywords: artificial intelligence (AI); channel capacity; human augmentation; human intelligence (HI)
Year: 2021 PMID: 34116918 DOI: 10.1016/j.tics.2021.04.003
Source DB: PubMed Journal: Trends Cogn Sci ISSN: 1364-6613 Impact factor: 20.229