GNT20 · 11–12 June 2026 · ENS Paris

Speakers

Four keynotes & twelve contributed talks

Keynote speakers

Mate Lengyel Keynote · Day 1

Navigation from first principles

Cristina Savin Keynote · Day 1

Ashok Litwin-Kumar Keynote · Day 2

Mechanisms for multi-tasking in recurrent neural networks

Jonathan Pillow Keynote · Day 2

Characterizing the dynamics of learning from animal training data

Session 1 — Network heterogeneity & dynamics

Fleur Zeldenrust

Heterogeneity in the brain: lessons from theory and experiment

Yuxiu Shao

Heterogeneous synaptic motifs bridge microscale structure and macroscale nonlinear dynamics

Arthur Pellegrino

RNNs perform task computations by dynamically warping neural representations

Session 2 — Cortical computations: perception, beliefs & decisions

Alex Hyafil

Bistable perception reveals a canonical computation in sensory processing

Francesca Mastrogiuseppe

Input-dependent directionality of interactions between cortical areas

Giulio Bondanelli

Single-neuron perturbations reveal a dynamical switch in decision computations in parietal cortex

Session 3 — Motor control & preparatory dynamics

Heike Stein

Motor control modelling

Lorenzo Fontolan

Preparatory population dynamics of timing and flexible behavior

Mark Humphries

Primary and Supplementary Motor cortex implement parallel solutions for the control of rhythmic and discrete arm movements

Session 4 — Inference, learning & efficient computation

Renaud Jardri

Computational Modeling of Rigid Beliefs: An illustration with Hallucinations, Delusions and Conspiracy

Viola Priesemann

Dendritic contribution to learning efficient codes

Pedro Goncalves

Machine learning for mechanistic insight in neuroscience