2020 International Conference on Mathematical Neuroscience - Digital Edition (6th-7th of July 2020)
The International Conference on Mathematical Neuroscience (ICMNS) is an
inter-disciplinary conference series, bringing together theoretical neuroscientists and mathematicians. The conferences are aimed at scientists interested in using or developing mathematical techniques for neuroscience problems.
ICMNS was launched in 2015 and has been organised 5 times to date.
Owing to the Coronavirus outbreak, the 6th edition will be held online on the 6th-7th of July 2020 at 14:00-19:00 (GMT+2, Amsterdam time).
Registration
Registration is now closed. Talks will be streamed live on YouTube, so they are publicly available following the links in the Programme below. Also, talks will be recorded and uploaded here after the conference.
Plenary speakers
- Anne Churchland (Cold Spring Harbor Laboratory, USA)
- Vivek Jayaraman (Janelia Research Campus, USA)
Parallel sessions
- Cellular and sub-cellular dynamics
Co-organiser: Krasimira Tsaneva-Atanasova (University of Exeter, UK)
- Jonathan Rubin (University of Pittsburgh, USA)
- James Sneyd (University of Auckland, New Zealand)
- Yulia Timofeeva (University of Warwick, UK)
- Kyle Wedgwood (University of Exeter, UK)
- David Yule (University of Rochester, USA) - Dynamics of structured networks
Co-organiser: Krešimir Josić (University of Houston, USA)
- Omri Barak (Technion, Israel)
- Robert Rosenbaum (University of Notre Dame, USA)
- Lai-Sang Young (Courant Institute of Mathematical Sciences, USA)
- Julijana Gjorgjieva (Max Planck Institute for Brain Research, Germany) - Inferring models from data
Co-organiser: Jean-Pascal Pfister (University of Bern, Switzerland)
- André Longtin (University of Ottawa, Canada)
- Anqi Wu (Columbia University, New York, USA)
- Maneesh Sahani (University College London, UK)
- Simone Surace (University of Bern, Switzerland) - Mean-field methods
Co-organiser: Eva Löcherbach (Université Paris 1, Panthéon Sorbonne, France)
- Guilherme Ost (Federal University of Rio de Janeiro, Brazil)
- Ernest Montbrió (Universitat Pompeu Fabra, Barcelona, Spain)
- Valentin Schmutz (École polytechnique fédérale de Lausanne, Switzerland)
- Delphine Salort (Sorbonne Université, Paris, France) - Neural fields and spatio-temporal dynamics
Co-organiser: Áine Byrne (University College Dublin, Ireland)
- Gustavo Deco (ICREA, Spain)
- Axel Hutt (Inria, France)
- James Maclaurin (New Jersey Institute of Technology, USA)
- Bastian Pietras (Technical University Berlin, Germany) - Neural coding
Co-organiser: Vladimir Itskov (The Pennsylvania State University, USA)
- Stefano Fusi (Columbia University, USA)
- Benjamin Dunn (NTNU, Norway)
- Tatyana Sharpee (Salk Institute, USA)
- Ila Fiete (MIT, USA) - Numerical methods
Co-organiser: Evelyn Buckwar (Johannes Kepler University Linz, Austria)
- Gillian Queisser (Temple University, Philadelphia, USA)
- Ari Stern (Washington University, St. Louis, USA)
- Irene Tubikanec (Johannes Kepler University Linz, Austria)
- Kevin K. Lin (University of Arizona, USA) - Mathematical theory of deep learning
Co-organiser: Andrew Saxe (Oxford University, UK)
- Mikhail Belkin (The Ohio State University, USA)
- Sue-Yeon Chung (Columbia University, USA)
- Suriya Gunasekar (Microsoft Research, USA)
- Stephane Mallat (ENS Paris, France)
Virtual posters
Virtual poster submissions are now closed. The virtual poster session will take place on Monday the 6th of July at 19:30 GMT+2, Amsterdam time. This session is available only for subscribers.
Programme
Monday the 6th of July (times are GMT+2, Amsterdam time, time converter)
| CHANNEL 1 YouTube | CHANNEL 2 YouTube | |
| 14:00- 14:55 |
Opening and Plenary talk Anne Churchland Discovering diversity in decision making: cells, brains, and individuals |
|
| 15:00- 17:00 |
Parallel session Inferring models from data |
Parallel session Mean-field methods |
| Maneesh Sahani Chasing the light: mechanistically-informed statistical models of dynamics |
Valentin Schmutz Mean-field limit for large networks of multidimensional spiking neurons |
|
| Anqi Wu New methods for identifying latent manifold structure from neural data |
Guilherme Ost Spatially Extended Hawkes Processes and their Connections with Neural Field Equations |
|
| Simone Surace Striving for freedom and control in nonlinear filtering |
Delphine Salort Qualitative analysis on a PDE model of neural network |
|
| André Longtin Gamma and Beta Bursts and E-I network inference |
Ernest Montbrió The influence of spike resetting on the collective dynamics of quadratic integrate-and-fire neurons |
|
| 17:00- 17:30 |
Break | |
| 17:30- 19:30 |
Parallel session Cellular and sub-cellular dynamics |
Parallel session Neural coding |
| Yulia Timofeeva Computational modelling framework to study Ca2+ activation of synaptic vesicle fusion |
Stefano Fusi The neural code of abstraction in artificial and biological neural networks |
|
| Kyle Wedgwood Multi-spike rhythms in a delay coupled neuron |
Benjamin Dunn Toroidal topology of grid cell ensemble activity |
|
| Jonathan Rubin The role of chloride dynamics in neuronal integration of multiple input streams |
Tatyana Sharpee Hyperbolic geometry of the olfactory space |
|
| James Sneyd and David Yule Saliva Secretion in Living Animals: Experiments and Models |
Ila Fiete Simultaneous rigidity and flexibility through modularity in cognitive maps for navigation |
|
| 19:30- 20:30 |
Virtual posters |
Tuesday the 7th of July (times are GMT+2, Amsterdam time time converter)
| CHANNEL 1 YouTube | CHANNEL 2 YouTube | |
| 14:00- 14:55 |
Plenary talk Vivek Jayaraman About a biological ring attractor network |
|
| 15:00- 17:00 |
Parallel session Numerical methods |
Parallel session Dynamics of structured Networks |
| Irene Tubikanec Splitting methods for the stochastic FitzHugh-Nagumo model |
Julijana Gjorgjieva Spontaneous emergence of structure in recurrent networks from a triplet STDP rule |
|
| Gillian Queisser Numerical methods for ultrastructural 3D simulations of neuronal processes |
Robert Rosenbaum Universal properties of strongly coupled networks |
|
| Ari Stern Structure-preserving numerical integrators for Hodgkin-Huxley-type systems |
Omri Barak Structure in the randomness of trained recurrent neural networks |
|
| Kevin Lin Multilevel Monte Carlo Methods for Spiking Neuronal Networks |
Lai-Sang Young Dynamics of a realistic network model of the visual cortex |
|
| 17:00- 17:30 |
Break | |
| 17:30- 19:30 |
Parallel session Neural fields and spatiotemporal dynamics |
Parallel session Mathematical theory of deep learning |
| Gustavo Deco Turbulence in the human brain: Discovering the turbulent homogeneous isotropic functional core organisation of the human brain |
Mikhail Belkin From classical bias-variance trade-off to double descent |
|
| Bastian Pietras A stochastic neural field model for finite numbers of renewal-type spiking neurons |
Suriya Gunasekar Kernel and rich regimes in overparameterized linear models |
|
| Axel Hutt Coherence in unstructured networks induced by additive noise |
Sue-Yeon Chung Emergence of Separable Manifolds in Deep Neural Networks |
|
| James Maclaurin Metastable phenomena in stochastic neural fields over long timescales |
Stephane Mallat Multiscale models for deep neural networks |
|
| 19:30- 20:30 |
Poster prize talks and closing remarks | |
| Merav Stern Emergence of Slow Timescales In Highly Chaotic Random Neural Networks |
||
| Man Yi Yim Where can a place cell put its fields? Let us count the ways |
||
| Robert Gowers Spatial structure filters the fluctuation-driven dynamic firing-rate response |