Jonathan Z Simon

#paperThread #auditory #neuroscience
Our latest paper just came out in the Journal of Neuroscience “Neural Dynamics of the Processing of Speech Features: Evidence for a Progression of Features from Acoustic to Sentential Processing.” We follow the cortical processing of four different speech-like stimuli (https://dushk88.github.io/progression-of-neural-features) through the brain, using MEG, from early auditory cortex to areas processing semantic-level information. The results show that each language-sensitive processing stage shows both an early (bottom-up-like) cortical contribution and a late (top-down-like) cortical contribution consistent with predictive coding. https://www.jneurosci.org/content/45/11/e1143242025
https://fediscience.org/@jzsimon/111865220831291708

#neuroscience #paperThread A new #preprint by Dushyanthi Karunathilake https://doi.org/10.1101/2024.02.02.578603
Language has a hierarchical structure, and some neural processing stages seem to align with these levels. Here we record MEG responses from subjects listening to a progression of speech/speech-like passages: speech-modulated noise; non-words with well-formed phonemes; shuffled words; and true narrative. We can then trace the hierarchy of neural processing stages, from acoustical to full language. 1/7

#neuroscience #paperThread New paper in PNAS by recent PhD Dushyanthi Karunathilake! https://doi.org/10.1073/pnas.2309166120
MEG responses from continuous speech listening lock to various stimulus features: acoustic, phonemic, lexical, & semantic. Could they provide an objective measure of when degraded speech is perceived as actually intelligible? This would give insight as to how the brain turns speech into language, and be a treasure mine for clinical populations ill-suited for behavioral testing. 1/5

@soundbrainlab @jpeelle I’ll also be there at ARO #2023MWM with some of my lab. Really looking forward to catching up with everyone who can make it. #auditoryneuroscience