Parallel Sessions


Wednesday, May 31: Main Conference, Day 1
Parallel Session 1 (10:20-11:50am)
Room 1: Stochastic dynamics and mean field methods
10:20-10:50am: Helmut Schmidt, Daniele Avitabile, Ernest Montbrió and Alex Roxin. Macroscopic Response of Quadratic Integrate-and-Fire Neurons to Oscillatory Forcing
10:50-11:20am: Sven Goedeke, Jannis Schuecker and Moritz Helias. A dynamic mean-field approach for the largest Lyapunov exponent
11:20-11:50am: Wilten Nicola and Sue Ann Campbell. Bifurcations in Piecewise Smooth Continuous Mean-Field Models

Room 2: From data to models
10:20-10:50am: Yuwei Cui, Yiyi Yu, Spencer Smith and Subutai Ahmad. Presence of high order cell assemblies in mouse visual cortices during natural movie stimulation
10:50-11:20am: Rodica Curtu, Sobana Wijeakumar, Joseph Ambrose and John Spencer. Model-based fMRI approach using dynamic neural fields
11:20-11:50am: Leenoy Meshulam, Jeffrey Gauthier, Carlos Brody, David Tank and William Bialek. Collective behavior of place and non-place neurons in (very) large hippocampal networks

Room 3: Spatiotemporal dynamics
10:20-10:50am: Andrew Oster and Paul Bressloff. Laminar Development of the Primary Visual Cortex
10:50-11:20am: Kathryn Hedrick. Analysis of a Hippocampal Attractor Network driven by Conflicting External Input
11:20-11:50am: Daniele Avitabile, Mathieu Desroches and Edgar Knobloch. Spatio-temporal canards in neural field equations

Parallel Session 2 (3-4:30pm)
Room 1: Stochastic dynamics and mean field methods
3-3:30pm: Danke Zhang, Chi Zhang and Armen Stepanyants. Order-to-chaos phase transition in recurrent networks operating at maximum capacity for storing sequences of network states
3:30-4pm: Olivier Faugeras, James Maclaurin and Etienne Tanre. Coping with correlations in the analysis of the thermodynamic limit of neuronal networks
4-4:30pm: Andrea Barreiro and Cheng Ly. When do Correlations Increase with Firing Rates?

Room 2: From data to models
3-3:30pm: Jonathan Schiefer, Carolin Lennartz, Pierre Levan, Jürgen Hennig and Stefan Rotter. Estimation of effective connectivity from fMRI signals based on zero-lag covariance
3:30-4pm: Jean-Philippe Thivierge. Beyond Models of Linear Accumulation: Neural Dynamics of Decision Making under Uncertainty
4-4:30pm: Andrea Ferrario, Robert Merrison-Hort and Roman Borisyuk. A Probabilistic Model of Neuronal Connectivity in the Xenopus tadpole Spinal Cord: Network properties and functionality

Room 3: Spatiotemporal dynamics
3-3:30pm: Carlo Laing. Bumps in small-world networks
3:30-4pm: Samuel Carroll and Paul Bressloff. Symmetric Bifurcations in a Neural Field Model for Encoding the Direction of Spatial Contrast Gradients
4-4:30pm: Victor Matveev. Rapid Buffer Approximation for Ca2+ buffers with two binding sites

Thursday, June 1: Main Conference, Day 2
Parallel Session 3 (10:50am-12:20pm)
Room 1: Network connectivity and dynamics
10:50-11:20am: Gabriel Koch Ocker, Kresimir Josic, Eric Shea-Brown and Michael Buice. Linking structure and activity in nonlinear spiking networks
11:20-11:50am: Christopher Ebsch and Robert Rosenbaum. Amplification and suppression in weakly balanced networks
11:50am-12:20pm: Anca Radulescu. Effects of configuration on ensemble dynamics in a network of Wilson-Cowan nodes

Room 2: Neural coding
10:50-11:20am: Alex Kunin and Vladimir Itskov. Low-dimensional geometry of stimuli shapes the information content of a neural code
11:20-11:50am: Mirjana Maras and Sophie Deneve. Sparse Predictive Coding in Balanced Spiking Networks
11:50am-12:20pm: Luca Mazzucato, Giancarlo La Camera and Alfredo Fontanini. Metastable dynamics drive anticipatory neural activity

Room 3: Oscillations and synchrony
10:50-11:20am: David Fox, Horacio. G. Rotstein and Farzan Nadim. Neuromodulator-induced Antiresonance
11:20-11:50am: Nora Stack, Mary Carskadon, David Barker and Cecilia Diniz Behn. Establishing a theoretical framework for the ultradian forced desynchrony protocol
11:50am-12:20pm: Jonathan Rubin, Justyna Signerska-Rynkowska, Jonathan Touboul and Alexandre Vidal. Complex oscillations in a hybrid neuron model: bursting, spike-adding and chaos.

Friday, June 2: Main Conference, Day 3
Parallel Session 4 (10:10-11:40am)
Room 1: Network connectivity and dynamics
10:10-10:40am: Francesca Mastrogiuseppe and Srdjan Ostojic. From dynamics to computation in recurrent random networks with low-rank connectivity structure
10:40-11:10am: Katherine Morrison, Caitlyn Parmelee, Carina Curto and Samantha Moore. Predicting emergent sequences from network connectivity
11:10-11:40am: Laureline Logiaco and G. Sean Escola. Thalamic modulation of cortical dynamics permits a massive reduction in neural resources for motor sequence generation

Room 2: Plasticity and learning
10:10-10:40am: Guillaume Lajoie, Adrienne Fairhall and Eberhard Fetz. Correlation-based model predicts efficacy of artificially-induced plasticity in motor cortex by a bidirectional brain-computer interface
10:40-11:10am: Aditya Gilra and Wulfram Gerstner. Local, online and Lyapunov-stable learning of non-linear dynamics in a recurrent spiking neural network
11:10-11:40am: Callie Federer and Joel Zylberberg. A self-organizing memory network

Room 3: Statistics of stochastic models
10:10-10:40am: Deena Schmidt, Roberto Galan and Peter Thomas. Dimension reduction for stochastic conductance based neural models with time scale separation
10:40-11:10am: Jacob Østergaard, Mark Kramer and Uri T Eden. Can Generalized Linear Models describe both variability and intrinsic dynamics of Izhikevich neurons with noise?
11:10-11:40am: Richard Naud, Alexandre Payeur and André Longtin. Tapering of Active Dendrites can Enhance Signal Transmission through Noise-Gated Stochastic Resonance

Parallel Session 5 (2:50-4:20pm)
Room 1: Network connectivity and dynamics
2:50-3:20pm: Yury Sokolov and Jonathan Rubin. Multistate bootstrap percolation model of bursting in the pre-Botzinger complex
3:20-3:50pm: Christopher Kim and Carson Chow. Supervised learning in spiking neural networks with rate chaos
3:50-4:20pm: Jennifer Crodelle, Gregor Kovacic and David Cai. Synchrony among synaptically and electrically connected neurons in the cortex

Room 2: Plasticity and learning
2:50-3:20pm: Ulises Pereira and Nicolas Brunel. Inferred Learning Rules From IT Cortex Are Optimal for Memory Storage and Lead to Graded and Time Varying Neural Representations
3:20-3:50pm: Mauro Miguel Monsalve Mercado and Christian Leibold. Feed-forward learning of grid cells: Universality and biological implementations
3:50-4:20pm: Chiara Gastaldi, Samuel Muscinelli and Wulfram Gerstner. Systematic study of synaptic consolidation models using phase-plane analysis

Room 3: Statistics of stochastic models
2:50-3:20pm: Catalina Vich Llompart, Antoni Guillamon Grabolosa, Rafel Prohens Sastre and Antonio E. Teruel Aguilar. A first approach to estimate synaptic conductances in the spiking regime
3:20-3:50pm: Wilhelm Braun and Andre Longtin. Correlation-decorrelation transitions in multidimensional stochastic neuron models
3:50-4:20pm: Anna Kutschireiter, Simone Carlo Surace, Henning Sprekeler and Jean-Pascal Pfister. The Neural Particle Filter