Shira M. Lupkin

Learning to select computations in recurrent neural circuits

This paper develops a recurrent neural network model that learns to select computations by combining rational meta-reasoning with meta-learning, demonstrating its ability to approximate optimal symbolic models and replicate neural dynamics in macaque and human planning tasks.

A Neural Population Code for Value in Human Orbitofrontal Cortex.

The paper investigates the neural code for value in the human orbitofrontal cortex and finds that a probabilistic, non-linear population code represents both value and its uncertainty.

Orbitofrontal high-gamma reflects spike-dissociable value and decision mechanisms

This study compares high-gamma LFPs and spiking activity in the OFC during value-based decisions, finding dissociable value and decision coding properties between the two signals.

Monkeys exhibit human-like gaze biases in economic decisions

This study shows that macaque monkeys exhibit gaze biases in economic decisions similar to humans, supporting a shared mechanism across species.

Behavioral read out of population value signals in primate orbitofrontal cortex

The paper shows that trial-wise choice variability in primate OFC is explained by variability in decoded value signals from simultaneously recorded neurons.