Classification and Visualization of Neural Patterns Using Subspace Analysis Statistical Methods
The size and complexity of neural data is increasing at a dramatic pace due to rapid advances in experimental technologies. As a result, the data analysis techniques are shifting their focus from single-units to neural populations. The goal is to investigate complex temporal and spatial patterns, as well as to present the results in an intuitive way, allowing for detection and monitoring of relevant neural patterns.
Xia et al.: Classification and visualization of neural patterns using subspace analysis statistical methods. BMC Neuroscience 2012 13(Suppl 1):P74. doi: 10.1186/1471-2202-13-S1-P74
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This poster presentation was originally published in BMC Neuroscience. It is posted here with the permission of the author.
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