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Computational and theoretical neuromodeling

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   Open Access Highly Accessed

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   Open Access Highly Accessed

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.

Research article   Open Access Highly Accessed

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)

Abstract | Full text | PDF | PubMed

4.

Software   Open Access Highly Accessed

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)

Abstract | Full text | PDF | PubMed

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