Comparing different amplitude thresholds in extracellular neural recordings Hücre dişi sinirsel kayitlarda farkli genlik eşiklerinin karşilaştirilmasi


27th Signal Processing and Communications Applications Conference, SIU 2019, Sivas, Turkey, 24 - 26 April 2019 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2019.8806588
  • City: Sivas
  • Country: Turkey
  • Keywords: Computational neuroscience, Generalized linear models, Spike train analysis
  • Istanbul Medipol University Affiliated: Yes


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.