MUSIC-Expected maximization gaussian mixture methodology for clustering and detection of task-related neuronal firing rates
详细信息 查看全文
- 作者：Alexis Ortiz-Rosario ; Ph.D. studenta ; Hojjat Adelib ; adeli.1@osu.edu" class="auth_mail" title="E-mail the corresponding author (Dist. Member ASCE ; Fellow IEEE ; Fellow AAAS ; Fellow American Neurological Assoc. Professor) ; John A. Bufordc (Associate Professor ; Director)
- 关键词：Multiple signal classification ; Gaussian mixture model ; Expectation-maximization algorithm ; Firing rate ; Neurons ; Signal processing ; Empirical wavelet transform
- 刊名：Behavioural Brain Research
- 出版年：2017
- 出版时间：15 January 2017
- 年：2017
- 卷：317
- 期：Complete
- 页码：226-236
- 全文大小：3280 K
文摘
- •
A new methodology for classification of neurons recorded in behavioral tasks.
- •
The data set was recorded from non-human primates during a reaching task.
- •
The methodology is capable of identifying and clustering similar firing rate profiles.
- •
It produces physiologically meaningful classifications of neurons.