Sukbin Lim

Output-Contingent Working Memory and Decision-Making in Economic Choices

This study uses RNNs to model economic decision-making tasks with different output contingencies, revealing distinct neural dynamics for commodity-based and order-based reference frames.

Attractor dynamics of working memory explain a concurrent evolution of stimulus-specific and decision-consistent biases in visual estimation

The paper explains how attractor dynamics in working memory cause both stimulus-specific and decision-consistent biases in visual estimation.

Sensory-memory interactions via modular structure explain errors in visual working memory

The paper shows that errors in visual working memory arise from interactions between sensory and memory modules, with each module performing distinct functions that cannot be achieved in isolation.

Unsupervised learning for robust working memory

This study investigates how differential and homeostatic plasticity rules can improve robustness of working memory models under network perturbations.

Population-scale organization of cerebellar granule neuron signaling during a visuomotor behavior

The paper uses calcium imaging in zebrafish to study granule neuron signaling during optokinetic behavior, revealing heterogeneous responses and functional correlations.