@inproceedings{d085a3e505914b0fa533f924694279f8,
title = "Detection and characterization of neural spikes",
abstract = "In this paper the characteristics of neural spikes in deep brain recording were investigated. The adaptive spike thresholding was used to detect the neural spikes, and the autoregressive model was proposed to differentiate neural spikes and background potentials. Our preliminary results indicated there appears a higher firing rate, more concentrated inter-spike interval histogram and more correlated spike train in the neural signal recorded in substantia Nigra compared to the signals in reticulate subthalamic nucleus.",
keywords = "Autocorrelation, Autoregressive model, Firing rate, Inter-spike interval, Microelectrode recording, Spike detection",
author = "Chan, \{Hsiao Lung\} and Lin, \{Ming An\} and Wu, \{Yu Li\} and Lai, \{Hsin Yi\} and Lee, \{Shih Tseng\} and Yang, \{Jin Fu\} and Fang, \{Shih Chin\}",
year = "2006",
doi = "10.1049/cp:20060380",
language = "英语",
isbn = "0863416586",
series = "IET Conference Publications",
number = "520",
pages = "56",
booktitle = "IET 3rd International Conference MEDSIP 2006",
edition = "520",
note = "IET 3rd International Conference MEDSIP 2006: Advances in Medical, Signal and Information Processing ; Conference date: 17-07-2006 Through 19-07-2006",
}