POSTER SESSION 1
(Alphabetical order on our contact author)
- 1 – Snakes and ladders in neural field models: analytical and computational tools
Daniele Avitabile and Helmut Schmidt - 3 – Roadmaps for neuronal models: individual and networked
R. Barrio, M. Lefranc, M. A. Martínez, M. Rodríguez, S. Serrano and A. Shilnikov - 5 – First passage times in integrate–and–fire neurons with stochastic thresholds
Wilhelm Braun, Paul C. Matthews and Rüdiger Thul
- 7 – Non-stationary synaptic conductances modeled by filtered shot noise processes
Marco Brigham and Alain Destexhe - 9 – Quasicycles in the stochastic hybrid Morris-Lecar neural model
Heather A Brooks and Paul C Bressloff - 11 – From smooth firing rate functions to the Heaviside function in homogenized neural field models: the case of bump solutions
Evgenii Burlakov, Arcady Ponosov and John Wyller - 13 – Next generation neural mass models: rate and coherence
Áine Byrne, Sid Visser and Stephen Coombes - 15 – Laminar neural field model of spatially structured patterns of orientation selectivity
Sam Carroll and Paul Bressloff - 17 – Neural clique networks in an unreliable environment
Eliott Coyac, Vincent Gripon, Charlotte Langlais and Claude Berrou - 19 – Travelling wave and bump dynamics in a spiking neuronal network
Joshua Davis, Daniele Avitabile and Kyle Wedgwood - 21- Closed-loop regulation of the activity of delayed neural fields with only partial measurement and stimulation
Georgios Is. Detorakis and Antoine Chaillet - 23 – Spiral waves : interface analysis in a neural field
Aytul Gokce, Stephen Coombes and Daniele Avitabile - 25 – Breakdown of invariant curves and resonance structure in phase-amplitude response maps
Oriol Castejón, Antoni Guillamon and Gemma Huguet - 27 – Robust super-polynomial pattern storage in Hopfield networks
Christopher Hillar and Ngoc M. Tran - 29 – Nonlinear filtering of a stochastic neural mass model
H. Hinterleitner and E. Buckwar - 31 – Effects of sprouting and excitation-inhibition imbalance on seizure-like activity
Christopher Kim, Ajith Padmanabhan, Ulrich Egert , Stefan Rotter, Arvind Kumar - 33 – Canard mediated dynamics in a phantom Burster
Elif Köksal Ersöz, Mathieu Desroches, Maciej Krupa and Frédérique Clément - 35 – Neural field model with the power law response fucntion
Nataliya Kraynyukova and Tatjana Tchumatchenko - 37 – Front propagation in stochastic neural fields
Jennifer Krüger and Wilhelm Stannat - 39 – Finite-size effects on traveling waves in neural fields
Eva Lang and Wilhelm Stannat - 41 – Estimation of inhibitory response latency: the problem of detecting non-spikes
Marie Levakova - 43 – Non-Gaussian fluctuations and phase transition for a population of neurons within spatial interactions
Eric Luçon and Wilhelm Stannat - 45 – Neural field models with dendrites
Michelle Margetts, Stephen Coombes and Daniele Avitabile - 47 – Unique effects of channel noise in a conductance-based model of slow wave parabolic bursting
Marilyn Gatica, Jean Paul Maidana, Mauricio Caviedes, Patricio Orio - 49 – Impact of delayed interactions on the dynamical properties of spiking neural networks
Agostina Palmigiano, Michael Monteforte and Fred Wolf - 51 – From time to phase: temporal delay drives theta phase precession in the hippocampus
Eleftheria K Pissadaki - 53 – Elements of a finite-size ergodic theory in balanced spiking networks
Maximilian Puelma Touzel, Michael Monteforte and Fred Wolf - 55 – Uniform propagation of chaos in mean fields
Jamil Salhi and James MacLaurin - 57 – Nonlinear noisy integrate and fire neuron models: delay and excitatory-inhibitory populations
María José Cáceres Granados, José Antonio Carrillo de la Plata and Ricarda Schneider - 59 – Wild dynamics in nonlinear integrate-and-fire neurons: mixed-mode bursting, spike adding and chaos
Justyna Signerska-Rynkowska, Jonathan Touboul and Alexandre Vidal - 61 – Parameter inference from hitting times for perturbed leaky integrate and fire neuronal models
Massimiliano Tamborrino and Susanne Ditlevsen - 63 – A fast algorithm to simulate first hitting times of general curve by a one dimensional brownian motion
Samuel Herrmann and Etienne Tanré - 65 – A new definition of the firing time for stochastic leaky integrate and fire neuronal models
Roberta Sirovich, Laura Sacerdote and Luisa Testa - 67 – Coarse grained analysis of patterned activity in a discrete-time neural network
Kyle Wedgwood and Daniele Avitabile - 69 – Multiple independence tests for point processes by permutation methods: a unitary events approach based on delayed coincidence count
Mélisande Albert, Yann Bouret, Magalie Fromont and Patricia Reynaud-Bouret - 71 – Inference of neuronal network topology: a sparse reconstruction approach
Giacomo Aletti, Giovanni Naldi and Thierry Nieus - 73 – Spatio-temporal geometry of motion perception in primary visual cortex
Davide Barbieri, Giovanna Citti, Giacomo Cocci and Alessandro Sarti
