David J. Halpern

Getting Blood from a Stone: Improving Neural Inferences without Additional Neural Data

This paper shows that using behavioral data with alternative estimators can improve neural signal inferences without needing more neural data.

Decoding EEG for optimizing naturalistic memory

This paper develops a non-invasive closed-loop system using EEG to optimize memory by timing stimulus presentation based on real-time neural predictions.

Neural correlates of memory in a naturalistic spatiotemporal context

The paper investigates memory encoding and retrieval in a naturalistic spatial-episodic task using EEG, finding spectral correlates of successful memory and a consistent pattern of theta, alpha/beta, and gamma power changes.

Human hippocampal ripples signal encoding of episodic memories

The paper investigates hippocampal ripples during encoding and finds they predict clustering of recalled items, not direct recall.

Study-Phase Reinstatement

This study shows that spontaneous reactivation during encoding predicts memory recall, supporting rapid consolidation processes.

Identifying Causal Subsequent Memory Effects

The paper investigates causal subsequent memory effects using fMRI and finds that standard analyses replicate memory effects but fail to identify causal signals after adjusting for confounders, suggesting neuroimaging measures may lack precision.

Intolerance to uncertainty modulates neural synchrony between political partisans

This study shows that intolerance to uncertainty increases neural synchrony between political partisans, promoting polarized attitude formation.