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Programme

Keynote speakers
Nicolas Brunel (Duke University, USA) 
Eva Löcherbach (Université Paris 1 Panthéon-Sorbonne, France)
Stefan Treue (Georg-August-Universität Göttingen, Germany)

Get abstracts (pdf)


Don't forget: tutorials on June 23rd

Time


June 24th
Lundbeck Auditorium
Room 4-0-24

June 25th
Lundbeck Auditorium
Room 4-0-24

June 26th
Lundbeck Auditorium
Room 4-0-24

08:45-09:00Opening remarks
09:00-10:00Keynote lecture: Nicolas Brunel
Fixed point attractors, chaos and sequences in networks with unsupervised Hebbian plasticity rules
Keynote lecture: Stefan Treue
TBA
Keynote lecture:
Eva Löcherbach
Short term plasticity and short term memory in systems of spiking neurons
10:00-10:30Plenary talk:
Carino Curto
Dynamically relevant motifs in inhibition-dominated networks
Plenary talk:
Rachel Nicks
Clusters in nonsmooth oscillator networks
Plenary talk:
Diego Vidaurre
Characterising the temporal dynamics of stimulus processing through unconstrained decoding
10:30-11:00Coffee breakCoffee breakCoffee break
11:00-11:20Emilie Soret: Asymptotic behaviour of a network of neurons with random linear interactions
Andre Longtin:
Data-driven estimation of drift-diffusion-jump neural processes.
Yoram Baram:
Circuit Polarity Effect of Cortical Connectivity, Activity and Memory
Skirmantas Janusonis: Quantitative Analysis of Stochastic Axon SystemsAngelo Di Garbo: Firing properties of a resonate-and-fire neural model with periodic forcing and noise
Mustafa Zeki: Communication Between Time Cells Leads to the Linear Increase of Noise
11:25-11:45Romain Veltz: Dynamics of a mean field limit of interacting 2D nonlinear stochastic spiking neuronsAntoni Guillamon:
A computational strategy to estimate synaptic conductances in spiking regimes
Pake Melland:
Using dynamic neural fields to examine loci of plasticity in supervised and unsupervised auditory category learning.
Victor Matveev: 
Accuracy of Mass-Action vs Stochastic Modeling of Calcium-Dependent Vesicle Release
Bastian Pietras: 
Neuronal firing rate models with electrical and chemical synapses
Gemma Huguet: Mathematical tools for phase control and their role in neural communication
11:50-12:10Samuel Muscinelli: 
Shaping chaotic dynamics and signal transmission by single neuron properties in random neural networks
Ryota Kobayashi: 
A method for estimating synaptic connections from parallel spike trains
Tatyana Turova: 
Percolation on dynamical random graphs provides a model for defining synaptic connections
Nataliya Kraynyukova:
The impact of mRNA localization on dendritic protein distribution and its dynamics
Anca Radulescu: Predicting dynamics from hardwiring in canonical low-dimensional coupled networksZachary Kilpatrick: 
Analyzing dynamic decision models using differential Chapman-Kolmogorov equations
12:15-12:35Tilo Schwalger: Hazard rate approach to spiking neural networks with background noiseLaura Sacerdote:
Copulas and shuffles as statistical tools to recognize hidden dependences between neurons stimulated by periodic signals
Leonid Rubchinsky: Spike-timing-dependent plasticity effect on the patterns of neural synchronyMassimiliano Tamborrino: 
Shot Noise, diffusion limits and suitable approximations
Aine Byrne: 
A neural circuit model for learning a beat
Rune Berg: 
Sparse network connectivity revealed from physiology: What pairwise intracellular recordings can tell us about motor circuits
12:35-14:00LunchLunch
Group photo at 13:45
Lunch
14:00-14:20James MacLaurin: Wandering bumps in a stochastic neural field: a variational approachLubomir Kostal: 
Coordinate invariance as a constraint on the mutual information decomposition
Poster sessionPoster prize
14:25-14:45Daniele Avitabile:
This is not a bump
Kresimir Joric: Optimal evidence accumulation on social networksPoster sessionFabian Pallasdies: 
Synfire Chain-Like Activity Underlies Swimming and Turning of the Scyphozoan Jellyfish Aurelia aurita
Claudius Gros: 
The mathematics of self-organized neurobots
14:50-15:10Priscilla Greenwood: Stochastic neural field with smoothed noiseRoberto Barrio:
Insect movement gaits: neuron model, CPG and pattern bifurcations
Poster sessionMatias Calderini: 
Slow coordinated fluctuations in neural activity in a balanced cortical network
Manu Kalia: 
A biophysical model for the tripartite synapse under metabolic stress
15:15-15:35Stephen Coombes:
Pattern formation in biological neural networks with rebound currents
Antonio E Teruel: Annihilation phenomenon in a PWL version of the FitzHugh-Nagumo systemPoster sessionSelma Souihel: 
Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing
Oleg Maslennikov:
Collective dynamics in complex networks of discrete-time model neurons
15:35-16:00Coffee breakCoffee breakCoffee break
16:00-16:30Plenary talk:
Anton M. Unakafov
Strategies used by humans and monkeys in transparent coordination games
Plenary talk:
Katie Morrison
Emergent sequences from recurrent network motifs
Plenary talk: Kenneth Harris 
High-dimensional geometry of population responses in visual cortex
16:30-17:00Plenary talk: Guillaume Lajoie
Learning to control muscles with a brain-computer interface: a hierarchical and adaptive algorithm to optimally explore neural maps
Plenary talk:
Peter Thomas
Dissecting Molecular Contributions to Interspike Interval Variability in Conductance-Based Neural Models via Stochastic Shielding

Plenary talk: 
James Rankin 
Periodic forcing of auditory bistability: modelling and experiments
17:00-19:00Welcome receptionClosing remarks
18:00-22:00Conference dinner at Nørrebro Bryghus

Keynote speakers

Nicolas Brunel

Eva Löcherbach

Eva Löcherbach is professor of mathematics at the Laboratoire SAMM of the university Paris 1 Panthéon Sorbonne. She is working on probability theory with particular interest in limit theorems for Markov processes, the control of speed of convergence to equilibrium, interacting particle systems with interactions and/or memory of variable length and statistics of stochastic processes. In recent years she got interested in probabilistic models in neurosciences. Her research interests are mainly focused on the study of huge or infinite systems of interacting point processes with memory of variable or infinite length describing the spiking behavior of neurons. For such systems, she proved existence and perfect simulation results, she studied mean-field limits and the long time behavior of the associated non-linear limit systems, including the emergence of self-sustained oscillatory behavior, as well as important statistical issues such as estimation of the spiking rate or estimation of the underlying interaction graph.

Stefan Treue

Department of Mathematical Sciences, University of Copenhagen