Lisa Blum Moyse

The paper investigates socio-cognitive mechanisms in collective foraging using agent-based models and evaluates model selection and parameter identifiability through Bayesian inference and Wasserstein distance.

The paper develops a stochastic model of social foraging in egalitarian groups, showing how social coupling affects group cohesion and foraging efficiency across different environmental conditions.

This study develops a model to show how social hierarchy influences foraging decisions, finding that follower-leader dynamics improve accuracy but misinformation reduces individual benefit and increases group cohesion.

This study develops a neural network model to investigate how astrocytes influence Up-Down state switching in cortical networks, showing they promote bistability and stable transitions between states.