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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Srinivasan, L. Varshney, L.R. Kusuma, J. |
| Copyright Year | 2010 |
| Description | Author affiliation: Somerville, MA, USA (Kusuma, J.) || Cambridge, MA, USA (Varshney, L.R.) || San Diego, CA, USA (Srinivasan, L.) |
| Abstract | We introduce finite rate of innovation (FRI) based spike acquisition, a new approach to the sampling of action potentials. Drawing from emerging theory on sampling FRI signals, our process aims to acquire the precise shape and timing of spikes from electrodes with single or multiunit spiking activity using sampling rates of 1000 Hz or less. The key insight is that action potentials are essentially stereotyped pulses that are generated by neurons at a rate limited by an absolute refractory period. We use this insight to push sampling below the Nyquist rate. Our process is a parametric method distinct from compressed sensing (CS). In its full implementation, this process could improve spike-based devices for neuroscience and medicine by reducing energy consumption, computational complexity, and hardware demands. |
| Starting Page | 4213 |
| Ending Page | 4216 |
| File Size | 265479 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441235 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2010.5627399 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-31 |
| Publisher Place | Argentina |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Technological innovation Neurons Brain modeling Shape Trajectory Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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