The neural architecture of language: Integrative modeling converges on predictive processing @MITCBMM
The neural architecture of language: Integrative modeling converges on predictive processing  @MITCBMM
Uploaded October 2021 | Updated September 2026, 1 week ago
Graduate student Martin Schimpf (MIT/CBMM) and Prof. Evelina Fedorenko (MIT) discuss their latest publication in PNAS on predictive computational modeling and neural processing comparisons.
The neural architecture of language: Integrative modeling converges on predictive processingThe quest to create engineer-quality models of the mechanisms of human visual object recognition PT1How do we tell where a sound is coming from?The Cocktail Party ProblemA Conversation with Josh TenenbaumWhen and How CNNs Generalize to Out-of-Distribution Category-Viewpoint CombinationsThe Debate Over “Understanding” in AI’s Large Language ModelsCBMM10 Panel: Neuroscience to AI and back againInvestigacion y Superandola AdversidadQuantifying and Understanding Memorization in Deep Neural NetworksGLMsingle: a toolbox for improving single-trial fMRI response estimatesfMRI Scanning at MIT: For Toddlers
MITCBMM |

The neural architecture of language: Integrative modeling converges on predictive processing

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER