Co-occurring keywords · papers mentioning both
Papers
Which Sense Dominates Multisensory Semantic Understanding? A Brain Decoding Study
COLING 2024
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
NeurIPS 2023
Decoding natural image stimuli from fMRI data with a surface-based convolutional network
MIDL 2023
Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual Cues
ICML 2023
Cross-Modal Cloze Task: A New Task to Brain-to-Word Decoding
ACL 2022
Mind Reader: Reconstructing complex images from brain activities
NeurIPS 2022
Multi-view and Cross-view Brain Decoding
COLING 2022
Brain Decoding Using fNIRS
AAAI 2021
Disentangling syntax and semantics in the brain with deep networks
ICML 2021
When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and Decoding
IJCAI 2021
Conditional Generative Neural Decoding with Structured CNN Feature Prediction
AAAI 2020
Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments
AAAI 2020
Visual Encoding and Decoding of the Human Brain Based on Shared Features
IJCAI 2020
Decoding EEG by Visual-guided Deep Neural Networks
IJCAI 2019
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI
NeurIPS 2019
Linking artificial and human neural representations of language
EMNLP 2019
Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models
ACL 2019
Towards Sentence-Level Brain Decoding with Distributed Representations
AAAI 2019
Reconstructing perceived faces from brain activations with deep adversarial neural decoding
NeurIPS 2017
Estimating image bases for visual image reconstruction from human brain activity
NeurIPS 2009
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis
NeurIPS 2009
A general framework for investigating how far the decoding process in the brain can be simplified
NeurIPS 2008
Locality and low-dimensions in the prediction of natural experience from fMRI
NeurIPS 2007