Norman H. Lam

This study investigates how disruptions in the excitation-inhibition balance affect decision-making in a cortical circuit model, finding that both elevated and reduced E/I ratios impair decision-making in distinct ways.

This study assesses the feasibility of collecting schizophrenia genetic data from a Vietnamese cohort and evaluates the transferability of polygenic risk scores across ancestries.

The paper investigates decision-making biases in health and disease using behavioural experiments, computational models, and pharmacology, revealing a neural circuit mechanism for pro-variance bias and its link to NMDA receptor hypofunction in schizophrenia.

The paper develops a circuit model of thalamic neurons to show how top-down inputs to reticular neurons enhance attentional control by improving signal detection and discrimination.

This paper introduces a framework for simulating and fitting generalized drift-diffusion models, showing improved accuracy and efficiency over traditional methods.