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Related Concept Videos

The Blood-brain Barrier00:49

The Blood-brain Barrier

Overview
Language and Cognition01:27

Language and Cognition

Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.

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[Technical maturity and bubble risks of brain-computer interface (BCI): Considerations from research to industrial

Yunfa Fu1,2, Haichen Lu1,2

  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|August 31, 2025
PubMed
Summary
This summary is machine-generated.

Brain-computer interface (BCI) technology is not as advanced as expected, with most systems at TRL4-TRL6. Addressing risks like vague definitions and performance focus is crucial for BCI

Keywords:
Brain–computer interfaceIndustrial translationTechnology Readiness LevelTechnology bubbleTechnology governance

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Context:

  • Brain-computer interface (BCI) technology faces significant structural risks.
  • A misalignment exists between BCI's technological maturity and industrialization expectations.
  • Current BCI paradigms like SSVEP, motor imagery, and P300 are predominantly at Technology Readiness Levels (TRL) 4 to 6.

Purpose:

  • To assess the technological readiness of major BCI paradigms using the TRL framework.
  • To identify the sources of 'bubble risk' in BCI development.
  • To propose recommendations for the sustainable development of BCI technology.

Summary:

  • The study evaluated major BCI paradigms (SSVEP, motor imagery, P300) using the TRL framework, finding most at TRL4-TRL6.
  • Four key risks were identified: overly broad BCI definitions, excessive focus on decoding performance, asynchronous progress, and imprecise terminology.
  • These factors lead to resource misallocation and public misunderstanding.

Impact:

  • Highlights the gap between BCI's perceived and actual technological readiness.
  • Advocates for a standardized TRL evaluation system for BCI.
  • Calls for clearer terminology, stronger fundamental research support, ethical oversight, and inclusive governance for sustainable BCI development.