Abstract
The usual approach to extracting information from extracellular neural recordings is to set an amplitude threshold and extract the information contained in suprathreshold data. Subthreshold data, on the other hand, contain superimposed low-amplitude spike waveforms from distant neurons and are usually considered background noise. Here we show that the estimated standard deviation of this background activity strongly covaries with behavior and can be used to decode behavioral information with very high accuracy. Our method for extracting behavioral information from subthreshold data can be used with traditional methods in brain-machine interfaces to further improve decoding accuracy.
Translated title of the contribution | High Performance Decoding of Behavioral Information from Background Activity in Extracellular Neural Recordings |
---|---|
Original language | Turkish |
Title of host publication | 2018 Medical Technologies National Congress, TIPTEKNO 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538668528 |
DOIs | |
Publication status | Published - 31 Dec 2018 |
Externally published | Yes |
Event | 2018 Medical Technologies National Congress, TIPTEKNO 2018 - Magusa, Cyprus Duration: 8 Nov 2018 → 10 Nov 2018 |
Publication series
Name | 2018 Medical Technologies National Congress, TIPTEKNO 2018 |
---|
Conference
Conference | 2018 Medical Technologies National Congress, TIPTEKNO 2018 |
---|---|
Country/Territory | Cyprus |
City | Magusa |
Period | 8/11/18 → 10/11/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.