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Neural Computation|March 15, 2011
Applying the multivariate time-rescaling theorem to neural population modelsFelipe Gerhard, Robert Haslinger, Gordon PipaNeural Computation|July 9, 2010
Discrete time rescaling theorem: determining goodness of fit for discrete time statistical models of neural spikingRobert Haslinger, Gordon Pipa, Emery BrownPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 26, 2012
Statistical modeling approach for detecting generalized synchronizationJohannes Schumacher, Robert Haslinger, Gordon PipaFrontiers in Computational Neuroscience|July 31, 2013
Missing mass approximations for the partition function of stimulus driven Ising modelsRobert Haslinger, Demba Ba, Ralf Galuske, et al.Frontiers in Computational Neuroscience|February 24, 2011
Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?Felipe Gerhard, Gordon Pipa, Bruss Lima, et al.Plos One|July 18, 2012
Context matters: the illusive simplicity of macaque V1 receptive fieldsRobert Haslinger, Gordon Pipa, Bruss Lima, et al.Neural Computation|April 24, 2013
Encoding through patterns: regression tree-based neuronal population modelsRobert Haslinger, Gordon Pipa, Laura D Lewis, et al.Neural Computation|January 18, 2018
A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural PopulationsJohannes Leugering, Gordon PipaPlos Computational Biology|March 22, 2014
Spatiotemporal computations of an excitable and plastic brain: neuronal plasticity leads to noise-robust and noise-constructive computationsHazem Toutounji, Gordon PipaFrontiers in Computational Neuroscience|April 9, 2015
RM-SORN: a reward-modulated self-organizing recurrent neural networkWitali Aswolinskiy, Gordon PipaPageof 8