Abstract
We have developed a method for training animals to control artificial devices from cortical signals [1-4]. In this report we describe a series of experiments designed to parameterize a cortical control algorithm without an animal having to move its arm. Instead, a highly motivated animal observes as the computer drives a cursor move towards a set of targets once each in a center-out task. From the neuronal activity recorded in this visual following task, we compute preferred directions for the neurons. We find that the quality of fit in this early set of trials is highly predictive of each neuron's contribution to the overall cortical control.
| Original language | English (US) |
|---|---|
| Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Pages | 4607-4610 |
| Number of pages | 4 |
| Volume | 26 VI |
| State | Published - 2004 |
| Event | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: Sep 1 2004 → Sep 5 2004 |
Other
| Other | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 |
|---|---|
| Country/Territory | United States |
| City | San Francisco, CA |
| Period | 9/1/04 → 9/5/04 |
Keywords
- Algorithm
- Cortical coding
- Cortical control
- Motor cortex
- Neuroprosthetics
ASJC Scopus subject areas
- Bioengineering