Qiong Zhang

A neural network model of free recall learns multiple memory strategies

This paper shows neural networks can develop diverse memory strategies for free recall, including an item index code similar to memory palace techniques, which outperforms temporal context models.

Binding items to contexts through conjunctive neural representations with the Method of Loci

The paper investigates how the brain forms connections between new information and existing schemas using the Method of Loci, finding that default mode network regions create conjunctive representations that evolve with expertise.

A Neural Index Reflecting the Amount of Cognitive Resources Available during Memory Encoding: A Model-based Approach

The paper introduces a neural index based on the SAC model to quantify cognitive resources during memory encoding and shows its correlation with subsequent memory effects.

A rational account of human memory search

This paper proposes a reinforcement learning model to explain human memory search strategies, finding that an optimal policy outperforms previous mechanisms.

Fast Memory Integration Facilitated by Schema Consistency

The paper shows that schema consistency enables fast memory integration, suggesting an alternative mechanism to hippocampus-mediated integration.

Inter-Subject Alignment of MEG Datasets in a Common Representational Space

This paper introduces M-CCA for aligning MEG datasets across subjects by analyzing sensor recordings directly, showing improved performance over traditional methods.