Functional network dynamics: Recent mathematical perspectives
Date and place:
- Matthieu Gilson (Univ Pompeu Fabra, Barcelona, Spain)
- David Dahmen (Jülich Forschungzentrum, Germany)
- Moritz Helias (Jülich Forschungzentrum, Germany)
17th July 2019
Room B2, historical building of University of Barcelona
CNS 2019 in Barcelona (Spain)
This workshop focuses on functional aspects of collective dynamical phenomena in neuronal networks. It gathers a series of speakers who have studied biological neuronal networks with the aim of relating structure and dynamics to functions. The goal is to combine (computational) neuroscience with machine learning, statistical mechanics, information theory and graph analysis. It will be of great interest for the traditional audience of CNS.
In practice, we want to present progress in various exciting directions, such as low-dimensional dynamical manifolds, geometrical aspects of learning and representations, classification on data manifolds, learning in dynamic and spiking systems, and correlated activity as distributed representations.
The workshop is timely because recent experimental progress in simultaneous recordings of many neurons (e.g. dense electrode arrays) requires advances in mathematical neuroscience to interpret the coming data. We aim to review new perspectives for network-oriented analyses of neuronal activity by leading young researchers in the field.
- 9.30-10.05: SueYeon Chung, MIT (Cambridge, USA), Processing of Object Manifolds in Deep Networks and the Brain
- 10.05-10.40: Stefano Fusi, Columbia University (New York, USA), Low dimensional dynamics for working memory and time encoding
- 10.40-11.10: coffee break
- 11.10-11.45: Friedemann Zenke, Friedrich Miescher Institute (Basel, Switzerland), Building functional spiking neural networks using surrogate gradients
- 11.45-12.20: Ran Darshan, Janelia Research Campus (Ashburn, Virginia, USA), Spatiotemporal correlations emerge form feedforward structures in balanced networks
- 12.20-14.50: lunch break
- 14.50-15.25: Julia Gallinaro , BCCN Freiburg (Germany), Associative properties of structural plasticity based on fring rate homeostasis in recurrent neuronal networks
- 15.25-16.00: Leonidas Richter, Max Planck Institute for Brain Research (Frankfurt, Germany), Linking cortical plasticity and activity changes following monocular deprivation in model networks of visual cortical circuits
- 16.00-16.30: coffee break
- 16.30-17.05: Raoul-Martin Memmesheimer, University of Bonn (Germany), Dynamical learning of dynamics
- 17.05-17.40: Taro Toyoizumi, RIKEN Center for Brain Science (Wako-shi, Japan), Intrinsic spine dynamics are critical for recurrent network learning in models with and without autism spectrum disorder