| Romain Brette |
Cognitive Science Department, Paris |
Generation of correlated spike trains |
| Jakob Macke |
Gatsby Computational Neuroscience Unit, UCL & Werner Reichardt Centre for Integrative Neuroscience, Tübingen |
Statistical methods for neural population data with correlations |
| Pablo Varona |
Universidad Autónoma de Madrid |
Tools for the characterization of neural signatures in spiking-bursting neurons |
| Thomas Wennekers |
University of Plymouth |
Real-time applications of spike-train metrics |
| Adrian Ponce-Alvarez |
CNRS - Université de la Méditerranée, France |
Comparison of local measures of spike time irregularity and relating variability to firing rate in motor cortical neurons |
| Felix Franke |
Bernstein Center for Computational Neuroscience, Berlin |
Spike sorting with linear filters |
| Stefan Rotter |
Albert Ludwig University of Freiburg, Germany |
Higher-order correlations in large neuronal populations |
| Conor Houghton |
Trinity College, Dublin |
Decoding spike trains with metrics |
| Rodrigo Quian Quiroga |
University of Leicester |
Spike sorting |
| Daniel Wojcik |
Nencki Institute |
Beyond the PSTH: Simple point process models of spike trains |
| Demetris Soteropoulos |
Newcastle University |
Neural coding of event timing. |
| Dominik Endres |
University of St. Andrew's |
Modelling spike trains with Bayesian binning: what do we gain by adding nonstationary rate distributions and refractory periods? |
| Michael Rosenblum |
Potsdam University |
Coupled oscillators approach in analysis of bivariate data |