Chaotic Balanced State in a Model Of Cortical Circuits. - Carl van Vreeswijk; Haim Sompolinsky (Neural Comput., 1998)

Whence Sparseness? - Carl van Vreeswijk (NIPS, 2000)

Information transmission with renewal neurons. - Carl van Vreeswijk (Neurocomputing, 2001)

Patterns of Synchrony in Neural Networks with Spike Adaptation. - Carl van Vreeswijk; David Hansel (Neural Comput., 2001)

Temporal Correlations in Stochastic Networks of Spiking Neurons. - Carsten Meyer; Carl van Vreeswijk (Neural Comput., 2002)

Power-Law Input-Output Transfer Functions Explain the Contrast-Response and Tuning Properties of Neurons in Visual Cortex. - Erez Persi; David Hansel; Lionel Nowak; Pascal Barone; Carl van Vreeswijk (PLoS Comput. Biol., 2011)

The Role of Pulvinar in the Transmission of Information in the Visual Hierarchy. - Nelson Cortes; Carl van Vreeswijk (Frontiers Comput. Neurosci., 2012)

Impact of Spike Train Autostructure on Probability Distribution of Joint Spike Events. - Gordon Pipa; Sonja Grün; Carl van Vreeswijk (Neural Comput., 2013)

Linear summation of outputs in a balanced network model of motor cortex. - Charles Capaday; Carl van Vreeswijk (Frontiers Comput. Neurosci., 2015)

Pulvinar thalamic nucleus allows for asynchronous spike propagation through the cortex. - Nelson Cortes; Carl van Vreeswijk (Frontiers Comput. Neurosci., 2015)

Serial Spike Time Correlations Affect Probability Distribution of Joint Spike Events. - Mina Shahi; Carl van Vreeswijk; Gordon Pipa (Frontiers Comput. Neurosci., 2016)