Thu, 21 Aug 2008 14:02:01 BST CiteULike: napvasconcelos's Srinivasan http://www.citeulike.org/user/napvasconcelos/author/Srinivasan CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/napvasconcelos/article/2693904 <i>Nature, Vol. 408, No. 6810. (16 November 2000), pp. 361-365.</i> Real-time prediction of hand trajectory by ensembles of cortical neurons in primates Johan Wessberg Christopher Stambaugh Jerald Kralik Pamela Beck Mark Laubach John Chapin Jung Kim James Biggs Mandayam Srinivasan Miguel Nicolelis doi:10.1038/35042582 Nature, Vol. 408, No. 6810. (16 November 2000), pp. 361-365. 2008-04-21T01:06:03-00:00 2000 Nature 408 6810 361 365 dropping neuron http://www.citeulike.org/user/napvasconcelos/article/2635557 <i>IEEE transactions on bio-medical engineering, Vol. 54, No. 8. (August 2007), pp. 1520-1529.</i><br /><br />Current demonstrations of brain-machine interfaces (BMIs) have shown the potential for controlling neuroprostheses under pure motion control. For interaction with objects, however, pure motion control lacks the information required for versatile manipulation. This paper investigates the idea of applying impedance control in a BMI system. An extraction algorithm incorporating a musculoskeletal arm model was developed for this purpose. The new algorithm, called the muscle activation method (MAM), was tested on cortical recordings from a behaving monkey. The MAM was found to predict motion parameters with as much accuracy as a linear filter. Furthermore, it successfully predicted limb interactions with novel force fields, which is a new and significant capability lacking in other algorithms. The muscle activation method: an approach to impedance control of brain-machine interfaces through a musculoskeletal model of the arm. HK Kim JM Carmena SJ Biggs TL Hanson MA Nicolelis MA Srinivasan doi:10.1109/TBME.2007.900818 IEEE transactions on bio-medical engineering, Vol. 54, No. 8. (August 2007), pp. 1520-1529. 2008-04-06T22:06:50-00:00 2007 IEEE transactions on bio-medical engineering 0018-9294 54 8 1520 1529 no-tag