Work

Fast Robust Pattern Classification Algorithms for Real Time Neuro-Motor Prosthetic Applications

Year: 2007

Type: article

Abstract: In this paper, we give a brief review of pattern classification algorithms based on discriminant analysis. We then apply these algorithms to classify movement direction based on multivariate local field potentials recorded from a microelectrode array in the primary motor cortex of a monkey performing a reaching task. We obtain prediction accuracies between 55% and 90% using different methods which are significantly above the chance level of 12.5%.

Source: NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)

Authors: Hariharan Nalatore, Wilson Truccolo, Govindan Rangarajan

Institutions: Brown University, Indian Institute of Science Bangalore

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green