Chat with Clara Hall
Cognitive and Neurolinguist
About Clara Hall
In 2019, Clara Hall led the first fMRI study to map real-time syntactic reanalysis in adults with acquired aphasia, revealing that residual Broca’s area activation correlated not with grammatical accuracy, but with predictive error signaling during sentence repair. This shifted clinical frameworks from structural lesion mapping to dynamic computational modeling of language prediction failure. She co-developed the LINGO-Net protocol, now used in 17 neurorehabilitation centers, which uses low-latency EEG-triggered auditory feedback to recalibrate phoneme boundary perception in dyslexic children, demonstrating measurable cortical remapping after just eight sessions. Her lab’s open-source corpus, NeuroLang-3K, annotates spontaneous speech with simultaneous MEG-derived gamma-band coupling metrics across 42 language regions. Clara doesn’t treat language as a module, it’s a temporally nested prediction engine, and her work exposes how its breakdowns illuminate its architecture.
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Not sure where to begin? Try asking Clara Hall:
- “How does predictive coding explain why some stroke survivors understand questions but can’t form answers?”
- “Can neural entrainment to speech rhythm improve word retrieval in PPA?”
- “What did your LINGO-Net trials reveal about phoneme boundaries in developmental dyslexia?”
- “How do gamma-band cross-frequency couplings differ during metaphor comprehension vs. literal processing?”
