All talks take place at Salle Jean Jaurès, ENS, 29 rue d'Ulm, Paris. Click a talk title to jump to its abstract.
| Time | Day 1 — Thursday 11 June | Day 2 — Friday 12 June |
|---|---|---|
| 09:00 – 09:30 | Welcome | — |
| 09:30 – 10:15 | Keynote — Mate Lengyel (Cambridge) Navigation from first principles | Keynote — Ashok Litwin-Kumar (Columbia) Mechanisms for multi-tasking in recurrent neural networks |
| Session 1 — Network heterogeneity & dynamics Chair: Matthew Chalk |
Session 3 — Motor control & preparatory dynamics | |
| 10:15 – 10:45 | Fleur Zeldenrust (Donders) Heterogeneity in the brain: lessons from theory and experiment | Heike Stein (Sorbonne) Motor control modelling |
| 10:45 – 11:15 | Coffee break | Coffee break |
| 11:15 – 11:45 | Yuxiu Shao (Université Côte d'Azur) Heterogeneous synaptic motifs bridge microscale structure and macroscale nonlinear dynamics | Lorenzo Fontolan (INMED Marseille) Preparatory population dynamics of timing and flexible behavior |
| 11:45 – 12:15 | Arthur Pellegrino (ENS) RNNs perform task computations by dynamically warping neural representations | Mark Humphries (Nottingham) Primary and Supplementary Motor cortex implement parallel solutions for the control of rhythmic and discrete arm movements |
| 12:15 – 14:00 | Lunch | Lunch |
| Session 2 — Cortical computations: perception, beliefs & decisions Chair: Joao Barbosa |
Session 4 — Inference, learning & efficient computation Chair: Michael Graupner |
|
| 14:00 – 14:30 | Alex Hyafil (CRM Barcelona) Bistable perception reveals a canonical computation in sensory processing | Renaud Jardri (CHU Lille) Computational Modeling of Rigid Beliefs: An illustration with Hallucinations, Delusions and Conspiracy |
| 14:30 – 15:00 | Francesca Mastrogiuseppe (SISSA) Input-dependent directionality of interactions between cortical areas | Viola Priesemann (Göttingen) Dendritic contribution to learning efficient codes |
| 15:00 – 15:30 | Coffee break | Coffee break |
| 15:30 – 16:00 | Giulio Bondanelli (Lyon) Single-neuron perturbations reveal a dynamical switch in decision computations in parietal cortex | Pedro Goncalves (Leuven) Machine learning for mechanistic insight in neuroscience |
| 16:00 – 16:45 | Keynote — Cristina Savin (NYU) The fast and slow of value-based decision making | Keynote — Jonathan Pillow (Princeton) Characterizing the dynamics of learning from animal training data |
| 16:45 – 17:00 | End of talks | Closing remarks |
| 17:00 – 19:00 | Poster session & reception See all posters | — |