Position Reconstruction of Awake Rodents by Evaluating Neural Spike Information from Place Cells in the Hippocampus

被引:0
|
作者
Edlinger, G. [1 ]
Krausz, G. [1 ]
Schaffelhofer, S. [1 ,3 ]
Guger, C. [1 ]
Brotons-Mas, J. [2 ]
Sanchez-Vives, M. [2 ,4 ]
机构
[1] G Tec Med Engn GmbH, Graz, Austria
[2] Univ Miguel Hernandez, CSIC, Inst Neurociencias Alicante, Alicante, Spain
[3] Univ Appl Sci Upper Austria, Linz, Austria
[4] ICREA, Inst Dinvestigacios Biomediques August Pi, Barcelona, Spain
来源
13TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING, VOLS 1-3 | 2009年 / 23卷 / 1-3期
关键词
place cells; hippocampus; online position reconstruction; Bayesian 2-step method; POPULATION ACTIVITY;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Place cells are located in the hippocampus of the brain and play an important role for spatial navigation. In this study neural spike activity of freely moving rats along with the position of the rats was acquired. The study was performed to investigate if position reconstruction is possible if the rat is freely moving in open arenas of different sizes based on neural recordings from CA1 and subiculum regions. The neural spike activity was measured using tetrodes from 6 chronically implanted rats in CA1 and subiculum regions. The position of the rats was monitored using a video tracking system An the encoding step spike activity features of the place cells and position information from the rats were used to train a computer system. In the decoding step, the position was estimated from the neural spiking activity. Different reconstruction methods were implemented: (i) Bayesian 1-step and (ii) Bayesian 2-step. The results show, that the reconstruction methods are able to determine the position of the rat in 2-dimensional open space from cell activity measured in the CA1 and subiculum regions. Better accuracies were achieved for CA1 regions because the firing fields show more localized spots. Higher accuracies are achieved with a higher number of place cells and higher firing rates.
引用
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页码:374 / +
页数:2
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