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Statistical Signal Processing in Neuroscience
[...] Hu et al. propose using a realistic nonlinear model rather than a linearized version to analyze multivoxel behavior in fMRI images in their paper "Nonlinear analysis of the BOLD signal."
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Published in: | EURASIP journal on advances in signal processing 2009-01, Vol.2009 (1), Article 105086 |
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container_title | EURASIP journal on advances in signal processing |
container_volume | 2009 |
creator | Oweiss, Karim G. Principe, Jose C. Johnson, Don H. |
description | [...] Hu et al. propose using a realistic nonlinear model rather than a linearized version to analyze multivoxel behavior in fMRI images in their paper "Nonlinear analysis of the BOLD signal." |
doi_str_mv | 10.1155/2009/105086 |
format | article |
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ispartof | EURASIP journal on advances in signal processing, 2009-01, Vol.2009 (1), Article 105086 |
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source | Access via ProQuest (Open Access); Springer Nature - SpringerLink Journals - Fully Open Access |
subjects | Applied sciences Colleges & universities Computer engineering Editorial Engineering Exact sciences and technology Information, signal and communications theory Miscellaneous Neurosciences Quantum Information Technology Signal processing Signal,Image and Speech Processing Spintronics Statistical Signal Processing in Neuroscience Telecommunications and information theory |
title | Statistical Signal Processing in Neuroscience |
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