Matthew W. Jones

This paper shows that post-learning neural replay in rats is biased by reward-prediction errors, not reward itself, using a reinforcement learning task and neural recordings.

This study examines how psilocybin affects neural network dynamics in rat prefrontal cortex over time, finding increased beta and low-gamma power in infralimbic cortex days after administration.

The paper shows that hippocampal cell assemblies integrate rate and phase coding to disambiguate spatial and cognitive contexts during decision-making in complex environments.

The paper uses deep learning to measure representational drift in neural recordings and finds that rewarded experiences better predict drift than time or session count.

The paper investigates how prefrontal cortex and hippocampus interact during working memory tasks in rats, showing that mPFC leads in maintaining sample information and that rhythmic assembly dynamics are critical for task performance.

This study examines how a schizophrenia-associated ZNF804A variant affects sleep neurophysiology and memory consolidation in healthy adults.

The paper shows that activating neurotrophin receptors with BDNF mimetics can rescue cognitive and synaptic deficits caused by Cacna1c mutations in rats.

This study investigates how dopamine affects memory consolidation during sleep, finding that it enhances forgetting of weak memories and increases slow wave sleep duration.

The paper identifies impaired slow-wave and spindle coordination during NREM sleep in schizophrenia patients as predictors of memory consolidation deficits.

This paper models the locus coeruleus (LC) and noradrenaline (NA) system using Active Inference to show that LC activity reflects prediction errors, enabling adaptive learning and cognitive flexibility.

This paper develops a theoretical model of hippocampal spiking during sharp-wave ripples, showing how network connectivity and inhibition shape reactivation patterns in CA3 and CA1.