Biomimetic and biofeedback approaches for brain machine interface
Year: 2010
Type: conference-paper
Abstract: In this paper, we elaborate on the distinction between classic approaches towards brain machine interface (BMI), that is Biomimetic and Biofeedback, and discuss their advantagesand disadvantages. For biomimetic BMI, we briefly report results of a novel constrained Kalman filtering-optimization mechanism for prediction of myoelectric signals from neural spike recordings in a behaving macaque monkey. For the Biofeedback BMI, we review early works on operant conditioning and our recent results on emulating BMI by a myoelectric control interface.
Authors: K Nazarpour, Andrew Jackson
Institution: Newcastle University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2538043289
