representational-similarity

Python package to conduct feature-reweighted representational similarity analysis.

Representational similarity consistency across dataset and their driving factors.

Materials for the MSc Thesis "Interpreting Neural Language Models for Linguistic Complexity Assessment" and related works.

Curated papers, datasets, and tools for fMRI-based encoding models, decoding, and representational analyses (language, vision, video, audio, and mental state).

Python implementation of Metric Learning Encoding Models

Shared representations in brains and models reveal a two-route cortical organization during scene perception

exploring the spatiotemporal dynamics of face recognition by directly comparing meg recordings with activations from cnns trained on different tasks and using different face stimuli

Analysis scripts for the FaceName-Brain manuscript

Contextual incongruency triggers memory reinstatement and the disruption of neural stability (2023 NeuroImage, Xiongbo Wu)

Distinct encoding and post-encoding representational formats contribute to episodic sequence memory formation (2023 Cerebral Cortex, Xiongbo Wu)

Code for analyzing how the internal representations of the LLM backbone of LLaVA change due visual instruction fine-tuning as part of my master's thesis work

A benchmark for representational geometry of spoken-language models: CKA, RSA, SVCCA, and layer-wise probes

A diagnostic control paradigm for activation measurements in transformer language models. Cross-replay separates text-bound from architecture-bound components by replaying generated sequences through intact and perturbed model variants.

Scripts and data for the paper: Reinstatement of antecedent-related neural representation during pronoun resolution