Abstract
Recent advances in the fields of neuroscience, computer science, and biomedical engineering now allow for the analysis of large-scale neurophysiological data sets to be carried out on-line and in real time. Here, we described an on-going effort in our research laboratory to build a computer system that will allow for on-line, real-time analyses of the response properties of ensembles of neurons (as many as 256) recorded in the brains of awake animals that perform behavioral tasks. A cluster of workstations allows us to carry out sequential and simultaneous analyses of neuronal signals. This new methodology can be used to change a behavioral task on-line to test real-time decoding of brain signals.
| Original language | English |
|---|---|
| Pages | 17-18 |
| Number of pages | 2 |
| State | Published - 22 Aug 2003 |
| Event | Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference - Newark, NJ, United States Duration: 22 Mar 2003 → 23 Mar 2003 |
Other
| Other | Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference |
|---|---|
| Country | United States |
| City | Newark, NJ |
| Period | 22/03/03 → 23/03/03 |
Keywords
- Brain-Machine Interface
- Cluster computing
- Data mining
- Neurophysiology
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Laubach, M., Arieh, Y., Luczak, A., Oh, J., & Xu, Y. (2003). A cluster of workstations for on-line analyses of neurophysiological data. 17-18. Paper presented at Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference, Newark, NJ, United States.