This section is focused on all aspects of computational and theoretical neuromodeling. Topics of interest include, but are not limited to, computational neuroscience, theoretical neuroscience and nonlinear dynamics, and neural networks.
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1.
Methodology article
Detecting alpha spindle events in EEG time series using adaptive autoregressive models
Vernon Lawhern, Scott Kerick, Kay A Robbins BMC Neuroscience 2013, 14:101 (18 September 2013)
Abstract | Full text | PDF | PubMed
2.
Research article
Why noise is useful in functional and neural mechanisms of interval timing?
Sorinel A Oprisan, Catalin V Buhusi BMC Neuroscience 2013, 14:84 (7 August 2013)
Abstract | Full text | PDF | ePUB | PubMed
3.
A neural computational model for bottom-up attention with invariant and overcomplete representation
Zou Qi, Zhao Songnian, Wang Zhe, Huang Yaping BMC Neuroscience 2012, 13:145 (29 November 2012)
4.
Software
Automatic online spike sorting with singular value decomposition and fuzzy C-mean clustering
Andriy Oliynyk, Claudio Bonifazzi, Fernando Montani, Luciano Fadiga BMC Neuroscience 2012, 13:96 (8 August 2012)