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