Detection of task-related synchronous firing patterns by Pipa Gordon, Wu Wei

Goodness-of-fit tests for neural population models: the multivariate time-rescaling theorem by Haslinger Robert, Gerhard Felipe, Pipa Gordon

Auto-structure of spike trains matters for testing on synchronous activity by van Vreeswijk Carl, Pipa Gordon, Grun Sonja

Applying the multivariate time-rescaling theorem to neural population models by Gerhard, Felipe, Haslinger, Robert Heinz, Pipa, Gordon

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Statistical modeling approach for detecting generalized synchronization by Haslinger, Robert Heinz, Pipa, Gordon, Schumacher, Johannes

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Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking by Haslinger, Robert Heinz, Brown, Emery N., Pipa, Gordon

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Discrete Time Rescaling Theorem: Determining Goodness of Fit for Statistical Models of Neural Spiking by Haslinger, Robert Heinz, Pipa, Gordon, Brown, Emery N.

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A mechanism for achieving zero-lag long-range synchronization of neural activity by Vicente Raul, Pipa Gordon, Gollo Leonardo, Mirasso Claudio, Fischer Ingo

A comparison of spike time prediction and receptive field mapping with point process generalized linear models, Wiener-Voltera kernels, and spike-triggered averaging methods by Chen Zhe, Neuenschwander Sergio, Lima Bruss, Pipa Gordon, Brown Emery N

The effect of global context on the encoding of natural scenes by Pipa Gordon, Lima Bruss, Haslinger Robert, Brown Emery N, Neuenschwander Sergio

Mapping of Visual Receptive Fields by Tomographic Reconstruction by Pipa, Gordon, Chen, Zhe, Neuenschwander, Sergio, Lima, Bruss, Brown, Emery N.

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Missing mass approximations for the partition function of stimulus driven Ising models by Galuske, Ralf, Williams, Ziv, Pipa, Gordon, Haslinger, Robert Heinz, Ba, Demba E.

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Context Matters: The Illusive Simplicity of Macaque V1 Receptive Fields by Haslinger, Robert Heinz, Pipa, Gordon, Lima, Bruss, Singer, Wolf, Brown, Emery N., Neuenschwander, Sergio

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Encoding Through Patterns: Regression Tree–Based Neuronal Population Models by Pipa, Gordon, Lewis, Laura D., Nikolić, Danko, Williams, Ziv, Brown, Emery N., Haslinger, Robert Heinz

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