Yipei Guo

A global dopaminergic learning rate enables adaptive foraging across many options

This study develops a reinforcement learning model to understand how mice adaptively forage across multiple options, finding that dopamine in the nucleus accumbens core reflects a global learning rate.

Efficient planning and implementation of optimal foraging strategies under energetic constraints

This paper develops a model of optimal foraging strategies under energetic constraints and shows how these strategies can be approximated by simple neural circuits.

Environmental dynamics impact whether matching is optimal

The paper analyzes how environmental dynamics affect the optimality of matching behavior in foraging scenarios.

Coupling differential adhesion to cell signaling avoids kinetic traps to yield robust multicellular self-organization

This study shows that combining differential adhesion with cell signaling avoids kinetic traps, enabling robust multicellular self-organization in synthetic systems.

Exploration and exploitation are flexibly balanced during local search in flies

This study investigates how flies balance exploration and exploitation during local search, finding that satiety drives a shift from exploiting to exploring, while optogenetic activation does not.

The effect of weak clonal interference on average fitness trajectories in the presence of macroscopic epistasis

This study examines how weak clonal interference affects fitness trajectories under macroscopic epistasis, finding that changes in beneficial mutation supply alter the trajectory's functional form.

Programming cell growth into different cluster shapes using diffusible signals

This paper develops a mathematical model to study how cells can use diffusible signals to grow into clusters with different shapes, identifying rules for generating rod-like structures and multiple protrusions.