Neural decoding of electrocorticographic signals using dynamic mode decomposition.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of neural engineering"
DOI: 10.1088/1741-2552/ab8910
Abstract: OBJECTIVE Brain-computer interfaces (BCIs) using electrocorticographic (ECoG) signals have been developed to restore the communication function of severely paralyzed patients. However, the limited amount of information derived from ECoG signals hinders their clinical applications. We… read more here.
Keywords: dmd; dynamic mode; accuracy; ecog signals ... See more keywords
A Swallowing Decoder Based on Deep Transfer Learning: AlexNet Classification of the Intracranial Electrocorticogram.
Sign Up to like & getrecommendations! Published in 2020 at "International journal of neural systems"
DOI: 10.1142/s0129065720500562
Abstract: To realize a brain-machine interface to assist swallowing, neural signal decoding is indispensable. Eight participants with temporal-lobe intracranial electrode implants for epilepsy were asked to swallow during electrocorticogram (ECoG) recording. Raw ECoG signals or certain… read more here.
Keywords: ecog signals; transfer learning; transfer; formula see ... See more keywords
Gesture Decoding Using ECoG Signals from Human Sensorimotor Cortex: A Pilot Study
Sign Up to like & getrecommendations! Published in 2017 at "Behavioural Neurology"
DOI: 10.1155/2017/3435686
Abstract: Electrocorticography (ECoG) has been demonstrated as a promising neural signal source for developing brain-machine interfaces (BMIs). However, many concerns about the disadvantages brought by large craniotomy for implanting the ECoG grid limit the clinical translation… read more here.
Keywords: sensorimotor cortex; gesture decoding; study; ecog signals ... See more keywords
Dynamics of Oddball Sound Processing: Trial-by-Trial Modeling of ECoG Signals
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2021.794654
Abstract: Recent computational models of perception conceptualize auditory oddball responses as signatures of a (Bayesian) learning process, in line with the influential view of the mismatch negativity (MMN) as a prediction error signal. Novel MMN experimental… read more here.
Keywords: predictability; oddball sound; trial; trial modeling ... See more keywords