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Frontiers in Computational Neuroscience|November 14, 2013
Simultaneous stability and sensitivity in model cortical networks is achieved through anti-correlations between the in- and out-degree of connectivityJuan C Vasquez, Arthur R Houweling, Paul Tiesinga
Frontiers in Computational Neuroscience|November 28, 2013
Hierarchical vector auto-regressive models and their applications to multi-subject effective connectivityCristina Gorrostieta, Mark Fiecas, Hernando Ombao, et al.
Frontiers in Computational Neuroscience|November 28, 2013
A computational model for preplay in the hippocampusAmir H Azizi, Laurenz Wiskott, Sen Cheng
Frontiers in Computational Neuroscience|December 10, 2013
Increased motor cortex excitability during motor imagery in brain-computer interface trained subjectsOlesya A Mokienko, Alexander V Chervyakov, Sofia N Kulikova, et al.
Frontiers in Computational Neuroscience|December 10, 2013
Defining nodes in complex brain networksMatthew L Stanley, Malaak N Moussa, Brielle M Paolini, et al.
Frontiers in Computational Neuroscience|November 26, 2013
Motor thalamus integration of cortical, cerebellar and basal ganglia information: implications for normal and parkinsonian conditionsClémentine Bosch-Bouju, Brian I Hyland, Louise C Parr-Brownlie
Frontiers in Computational Neuroscience|November 8, 2013
Detecting functional connectivity change points for single-subject fMRI dataIvor Cribben, Tor D Wager, Martin A Lindquist
Frontiers in Computational Neuroscience|November 1, 2014
Cross-matching: a modified cross-correlation underlying threshold energy model and match-based depth perceptionTakahiro Doi, Ichiro Fujita
Frontiers in Computational Neuroscience|November 1, 2014
Electrical responses of three classes of granule cells of the olfactory bulb to synaptic inputs in different dendritic locationsFábio M Simões-de-Souza, Gabriela Antunes, Antonio C Roque
Frontiers in Computational Neuroscience|October 18, 2014
Characterizing structural association alterations within brain networks in normal aging using Gaussian Bayesian networksXiaojuan Guo, Yan Wang, Kewei Chen, et al.
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