Claire Meissner-Bernard

The paper analyzes how olfactory memory in zebrafish is represented through neural manifolds, finding that training enhances the separation of task-relevant odor representations.

The paper investigates the computational role of balanced excitatory-inhibitory neuronal assemblies in zebrafish olfactory memory networks, showing they prevent runaway activity and correlations.

The paper builds a spiking network model of zebrafish olfactory cortex to study how E/I assemblies affect memory representation, finding continuous representations that enable fast classification and continual learning.

This study identifies odor-specific neuronal ensembles in the mouse piriform cortex as necessary and sufficient for odor fear memory recall.