Harnessing Prefrontal Cognitive Signals for Brain-Machine Interfaces.

Abstract:

:Brain-machine interfaces (BMIs) enable humans to interact with devices by modulating their brain signals. Despite impressive technological advancements, several obstacles remain. The most commonly used BMI control signals are derived from the brain areas involved in primary sensory- or motor-related processing. However, these signals only reflect a limited range of human intentions. Therefore, additional sources of brain activity for controlling BMIs need to be explored. In particular, higher-order cognitive brain signals, specifically those encoding goal-directed intentions, are natural candidates for enlarging the repertoire of BMI control signals and making them more efficient and intuitive. Thus, here, we identify the prefrontal brain area as a key target region for future BMIs, given its involvement in higher-order, goal-oriented cognitive processes.

journal_name

Trends Biotechnol

journal_title

Trends in biotechnology

authors

Min BK,Chavarriaga R,Millán JDR

doi

10.1016/j.tibtech.2017.03.008

subject

Has Abstract

pub_date

2017-07-01 00:00:00

pages

585-597

issue

7

eissn

0167-7799

issn

1879-3096

pii

S0167-7799(17)30057-4

journal_volume

35

pub_type

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