Toward a high-performance, robust brain-machine interface
نویسندگان
چکیده
منابع مشابه
III-65. A high-performance, robust brain-machine interface without retraining
Behavior often depends on the ability to update beliefs according to new information. Optimization of this process often requires preferential use of information occurring after likely environmental changes. Here we examined the role of the anterior cingulate cortex (ACC) in this process by measuring behavior in two rhesus monkeys and single-unit activity in one monkey performing a ten-alternat...
متن کاملToward a high-throughput auditory P300-based brain-computer interface.
OBJECTIVE Brain-computer interface (BCI) technology can provide severely disabled people with non-muscular communication. For those most severely disabled, limitations in eye mobility or visual acuity may necessitate auditory BCI systems. The present study investigates the efficacy of the use of six environmental sounds to operate a 6x6 P300 Speller. METHODS A two-group design was used to asc...
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A successful brain interface (BI) system enables individuals with severe motor disabilities to control objects in their environment (such as a light switch, neural prosthesis or computer) by using Dilly their braia sigaals. SlK" a system IReastlra specific feat1lra of a IJe""'S bnUt sipal dlat relate to his or her intent to affect control, then translates them into coatnli siluk that are used t...
متن کاملMicroelectrode Brain-machine Interface
INTRODUCTION Spinal cord injury (SCI) is a debilitating condition that affects over 250,000 people in the United States [1]. It results in paraplegia (paralysis of the lower limbs) or in tetraplegia (paralysis of the body below the neck) depending on where along the spinal column is affected [2]. It can result from either a physical injury to the head or spine or can be caused by a degenerative...
متن کاملImproving brain-machine interface performance by decoding intended future movements.
OBJECTIVE A brain-machine interface (BMI) records neural signals in real time from a subject's brain, interprets them as motor commands, and reroutes them to a device such as a robotic arm, so as to restore lost motor function. Our objective here is to improve BMI performance by minimizing the deleterious effects of delay in the BMI control loop. We mitigate the effects of delay by decoding the...
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ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2011
ISSN: 1662-5188
DOI: 10.3389/conf.fncom.2011.53.00005