Jacqueline P. Gottlieb

Opioids modulate Curiosity-Driven Exploration in Music

This study investigates how opioids modulate curiosity-driven exploration in music using a pharmacological paradigm and finds that naltrexone reduces exploratory behavior during high-curiosity states.

Single-Neuron Encoding of Learnability in the Dorsal Anterior Cingulate Cortex

The paper shows that neurons in the dorsal anterior cingulate cortex encode the ability to detect learnable associations in a task involving transitive inference.

Covert attention for uncertainty reduction duringsequential inference

The paper shows that covert attention is guided by expected information gain, with neural mechanisms involving the fronto-parietal network and interactions with the medial prefrontal cortex.

A Distinct Neural Code Supports Prospection of Future Probabilities During Instrumental Information-Seeking

The paper uses fMRI to show that posterior parietal and extrastriate cortices represent expected posterior certainty during active information seeking, supporting the computation of expected information gain.

A Reinforcement Meta-Learning Framework of Executive Function and Information Demand

This paper introduces a Reinforcement Meta-Learning framework to model information gathering trade-offs and shows it aligns with neural and behavioral findings on information demand.

Uncertainty modulates visual maps during non-instrumental information demand

The paper shows that uncertainty resolution enhances visuo-spatial responses in monkey lateral intraparietal area during non-instrumental information demand.

Leveraging vision to understand curiosity

The paper investigates how neural representations of uncertainty in visual areas relate to curiosity, finding that lower certainty in visual processing correlates with higher curiosity.

Traveling waves in the monkey frontoparietal network predict recent reward memory

The paper shows that traveling waves in monkey frontoparietal networks encode recent reward memory during saccade tasks.

A neural substrate for Bayesian integration in human parietal cortex

This study uses fMRI to show that left posterior parietal cortex tracks Bayesian inference components during a probabilistic decision task.

Learning of biased representations in LIP through interactions between recurrent connectivity and Hebbian plasticity

The paper models how biased category representations in LIP neurons arise from interactions between Hebbian plasticity and recurrent connectivity during learning.

Population coding of reward prediction errors through opponent organization in the fronto parietal network

The paper shows that reward prediction errors are encoded in population-level activity of prefrontal and parietal neurons through opponent organization, enabling decoding of signed and unsigned RPEs.

Microscopic and mesoscopic effects of reward uncertainty in monkey fronto-parietal areas

This study investigates how reward uncertainty affects neural activity in monkey fronto-parietal areas, showing distinct cellular and network-level responses.