Results 231 to 240 of about 207,444 (260)
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2021
Requiring collaboration in the fields of neurobiology, electrophysiology, engineering, computer science, and biomedicine, Brain-Machine Interfaces (BMIs) are an emerging multidisciplinary technology with countless potential benefits. The ability to record and interpret neuronal activity at a higher resolution and specificity is one of the exciting ...
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Requiring collaboration in the fields of neurobiology, electrophysiology, engineering, computer science, and biomedicine, Brain-Machine Interfaces (BMIs) are an emerging multidisciplinary technology with countless potential benefits. The ability to record and interpret neuronal activity at a higher resolution and specificity is one of the exciting ...
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International Journal of Applied Research in Bioinformatics, 2020
The main purpose of the article is to provide the solution which allows the muscles to work in a situation when neural connection is corrupted either due to illness or injury, which usually causes paralysis. The research is on the interpretation of the brain signals based on the analysis of neurotransmitters and the transformation of this analysis into
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The main purpose of the article is to provide the solution which allows the muscles to work in a situation when neural connection is corrupted either due to illness or injury, which usually causes paralysis. The research is on the interpretation of the brain signals based on the analysis of neurotransmitters and the transformation of this analysis into
openaire +1 more source
Exploring Cognition with Brain–Machine Interfaces
Annual Review of Psychology, 2022Traditional brain–machine interfaces decode cortical motor commands to control external devices. These commands are the product of higher-level cognitive processes, occurring across a network of brain areas, that integrate sensory information, plan upcoming motor actions, and monitor ongoing movements. We review cognitive signals recently discovered in
Andersen, Richard A. +4 more
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Cortically controlled brain-machine interface
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005Over the past ten years, we have tested and helped develop a multi-electrode array for chronic cortical recordings in behaving non-human primates. We have found that it is feasible to record from dozens of single units in the motor cortex for extended periods of time and that these signals can be decoded in a closedloop, real-time system to generate ...
N, Hatsopoulos +4 more
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Multiscale brain-machine interface decoders
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016Brain-machine interfaces (BMI) have vastly used a single scale of neural activity, e.g., spikes or electrocorticography (ECoG), as their control signal. New technology allows for simultaneous recording of multiple scales of neural activity, from spikes to local field potentials (LFP) and ECoG.
, Han-Lin Hsieh, Maryam M, Shanechi
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Invasive Brain Machine Interface System
2019Because of high spatial-temporal resolution of neural signals obtained by invasive recording, the invasive brain-machine interfaces (BMI) have achieved great progress in the past two decades. With success in animal research, BMI technology is transferring to clinical trials for helping paralyzed people to restore their lost motor functions.
Yile, Jin +4 more
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2017
The brain-machine interface (BMI) is a very recent development in the area of the human machine interaction (HCI) and emerged as the sister technology of BCI. A physiological signal related to these electrical potentials in response of the mental thoughts is known as Electroencephalogram (EEG) signals.
Manoj Kumar Mukul, Sumanta Bhattaharyya
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The brain-machine interface (BMI) is a very recent development in the area of the human machine interaction (HCI) and emerged as the sister technology of BCI. A physiological signal related to these electrical potentials in response of the mental thoughts is known as Electroencephalogram (EEG) signals.
Manoj Kumar Mukul, Sumanta Bhattaharyya
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Translating the Brain-Machine Interface
Science Translational Medicine, 2013Brain-machine interfaces hold promise for the recovery of sensory and motor functions, but translational challenges remain.
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Intracortical Brain–Machine Interfaces
2020A brain–machine interface, or BMI, directly connects the brain to the external world, bypassing damaged biological pathways. It replaces the impaired parts of the nervous system with hardware and software that translate a user’s internal motor commands into action.
Emily R. Oby +4 more
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