Yukun Qu

Developmental Emergence of Replay-DMN Coordination Predicts Entorhinal Grid Codes

The paper shows that replay-DMN coordination develops with age, predicting grid-like representations in the entorhinal cortex during memory formation.

Human hippocampal ripples predict the alignment of experience to a grid-like schema

The paper shows that hippocampal ripples during rest predict the emergence of grid-like codes in the brain for inferring novel relationships in a 2D conceptual space.

Replay builds an efficient cognitive map offline to avoid computation online

The paper shows that replay during rest integrates fragmented experiences into a coherent cognitive map, reducing the need for online computation during inference.

Development of Non-Spatial Grid-Like Neural Codes Predicts Inference and Intelligence

The paper shows that non-spatial grid-like neural codes in the entorhinal cortex develop with age and correlate with inferential reasoning and intelligence.

Replay-triggered Brain-wide Activation in Humans

This study uses EEG-fMRI to examine brain-wide activation during neural replay, finding correlations between replay strength and hippocampal activity, medial prefrontal cortex activity, and connectivity to the default mode network.

Implementation-independent representation for deep convolutional neural networks and humans in processing faces

This study compares internal representations of human observers and a deep convolutional neural network in gender classification tasks, finding similar representations at low spatial frequencies.