Özet
Amplitude thresholds are used in extracting information from extracellular neural recordings. While the amplitude threshold may be estimated by ensuring that behavioral variables are encoded in neural activity with maximum signal-to-noise ratio, it can also be estimated by maximum likelihood. Here, these two types of threshold are estimated using extracellular recordings collected from the motor cortex (M1) of two rats performing a well-learned visuomotor task and the estimates are compared. The results show that these two types of threshold are not significantly different. On the other hand, the width of the confidence interval of the maximum likelihood estimate is found to be related to decoding accuracy. These results are important for determining appropriate amplitude thresholds to be used in brain-machine interfaces.
| Tercüme edilen katkı başlığı | Comparing different amplitude thresholds in extracellular neural recordings |
|---|---|
| Orijinal dil | Türkçe |
| Ana bilgisayar yayını başlığı | 27th Signal Processing and Communications Applications Conference, SIU 2019 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Elektronik) | 9781728119045 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - Nis 2019 |
| Harici olarak yayınlandı | Evet |
| Etkinlik | 27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Turkey Süre: 24 Nis 2019 → 26 Nis 2019 |
Yayın serisi
| Adı | 27th Signal Processing and Communications Applications Conference, SIU 2019 |
|---|
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| ???event.eventtypes.event.conference??? | 27th Signal Processing and Communications Applications Conference, SIU 2019 |
|---|---|
| Ülke/Bölge | Turkey |
| Şehir | Sivas |
| Periyot | 24/04/19 → 26/04/19 |
Bibliyografik not
Publisher Copyright:© 2019 IEEE.
Keywords
- Computational neuroscience
- Generalized linear models
- Spike train analysis
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