spike train

A novel family of non-parametric cumulative based divergences for point processes NeurIPS 2010 A Novel Kernel for Learning a Neuron Model from Spike Train Data NeurIPS 2010 Identifying Dendritic Processing NeurIPS 2010 Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NeurIPS 2010 A joint maximum-entropy model for binary neural population patterns and continuous signals NeurIPS 2009 Code-specific policy gradient rules for spiking neurons NeurIPS 2009 Optimal context separation of spiking haptic signals by second-order somatosensory neurons NeurIPS 2009 Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NeurIPS 2009 Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models NeurIPS 2009 Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NeurIPS 2008 Short-Term Depression in VLSI Stochastic Synapse NeurIPS 2008 A neural network implementing optimal state estimation based on dynamic spike train decoding NeurIPS 2007 Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NeurIPS 2007 Tree-Structured Neural Decoding JMLR 2003