The neural architecture of language: Integrative reverse-engineering converges on a model for predictive processing
Language processing in brains and deep neural networks: computational convergence and its limits
https://x.com/jrking0/status/1496425017474695169
Long-range and hierarchical language predictions in brains and algorithms
Thinking ahead: prediction in context as a keystone of language in humans and machines
Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations in high-dimensional environments
Neural System Identification with Neural Information Flow
A massive 7T fMRI dataset to bridge cognitive and computational neuroscience
Inducing brain-relevant bias in natural language processing models
Generative Models of Brain Dynamics—A review
Fine-tuning of deep language models as a computational framework of modeling listeners’ perspective during language comprehension
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Mapping Between fMRI Responses to Movies and their Natural Language Annotations
Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies
Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query