Speakers

1. Gerrit Ansmann. Randomness and pattern switchings on complex networks of excitable units. University of Bonn (DE).

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2. Andrea Barreiro. How single-neuron dynamics modulate correlated activity in neural circuits. Southern Methodist University (US).

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3. Wilhelm Braun. Integrate-and-fire neurons with stochastic thresholds. University of Nottingham (UK).

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4. Heather Brooks. Quasicycles in the stochastic hybrid Morris-Lecar neural model. University of Utah (US).

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5. Nicolas Brunel. Effects of neuronal morphology on firing rate dynamics. University of Chicago (US).

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6. Jack Cowan. Stochastic Wilson-Cowan equations for networks of excitatory and inhibitory neurons. University of Chicago (US).

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7. Felix Droste. An analytical approach to information transmission in the face of up and down states. Bernstein Center for Computational Neuroscience, Berlin (DE).

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8. Farzad Farkhooi. Renewal approach to the stability analysis of noisy spiking recurrent networks. Bernstein Center for Computational Neuroscience, Berlin (DE).

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9. David Angula Garcia. Stochastic mean-field formulation of the dynamics of diluted neural networks. Consiglio Nazionale delle Ricerche (IT).

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10. Ryota Kobayashi. Estimation of excitatory and inhibitory input rate from a single voltage trace. National Institute of Informatics (JP).

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11. Enrica Pirozzi. Stochastic modeling of neuronal firing activity by generalized Ornstein-Uhlenbeck processes. University of Naples Federico II (IT).

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12. Stefan Rotter. Inhibition-dominated random networks for stimulus processing in rodent visual cortex. Albert Ludwigs University of Freiburg and Bernstein Center Freiburg.

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13. Laura Sacerdote. A Leaky Integrate-and-Fire neuronal model with Gamma distributed interspike intervals. University of Torino (IT).

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14. Justus Schwabedal*. Inference of Phase Diffusion. Max-Planck-Institute for the Physics of Complex Systems (DE).

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15. Peter Thomas**. Asymptotic Phase for Stochastic Oscillators. Case Western Reserve University (US).

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16. Jonathan Toubol. On the dynamics of large spiking neuronal networks. Collège de France (FR).

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17. John White. Biophysical mechanisms of noise resistance in neurons. University of Utah (US).

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