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Papers
Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers
ICLR 2025
CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex
AAAI 2025
From Language to Cognition: How LLMs Outgrow the Human Language Network
EMNLP 2025
SCNNs: Spike-based Coupling Neural Networks for Understanding Structural-Functional Relationships in the Human Brain
IJCAI 2025
A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation
AAAI 2024
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
NeurIPS 2024
fMRI predictors based on language models of increasing complexity recover brain left lateralization
NeurIPS 2024
Language models and brains align due to more than next-word prediction and word-level information
EMNLP 2024
Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models
ACL 2024
Bayesian Oracle for bounding information gain in neural encoding models
ICLR 2023
Energy Guided Diffusion for Generating Neurally Exciting Images
NeurIPS 2023
Fine-grained Artificial Neurons in Audio-transformers for Disentangling Neural Auditory Encoding
ACL 2023
Information Geometry of the Retinal Representation Manifold
NeurIPS 2023
Investigating the cortical tracking of speech and music with sung speech
Interspeech 2023
Joint processing of linguistic properties in brains and language models
NeurIPS 2023
MEG Encoding using Word Context Semantics in Listening Stories
Interspeech 2023
Scaling laws for language encoding models in fMRI
NeurIPS 2023
A time-resolved theory of information encoding in recurrent neural networks
NeurIPS 2022
Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models
NeurIPS 2022
CogTaskonomy: Cognitively Inspired Task Taxonomy Is Beneficial to Transfer Learning in NLP
ACL 2022
Cross-lingual Text-to-SQL Semantic Parsing with Representation Mixup
EMNLP 2022
Learning low-dimensional generalizable natural features from retina using a U-net
NeurIPS 2022
Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors
NeurIPS 2022
Natural image synthesis for the retina with variational information bottleneck representation
NeurIPS 2022
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?
NAACL 2022