37 citations · 42 across the 4 of their papers we have counts for
5 papers
Memory in humans and deep language models: Linking hypotheses for model augmentation
Omri Raccah, Phoebe Chen, Ted L. Willke +2
The computational complexity of the self-attention mechanism in Transformer models significantly limits their ability to generalize over long temporal durations. Memory-augmentatio…
MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing
Laura Gwilliams, Graham Flick, Alec Marantz +3
The "MEG-MASC" dataset provides a curated set of raw magnetoencephalography (MEG) recordings of 27 English speakers who listened to two hours of naturalistic stories. Each particip…
Successes and critical failures of neural networks in capturing human-like speech recognition
Federico Adolfi, Jeffrey S. Bowers, David Poeppel
Natural and artificial audition can in principle acquire different solutions to a given problem. The constraints of the task, however, can nudge the cognitive science and engineeri…
Phonological (un)certainty weights lexical activation
Laura Gwilliams, David Poeppel, Alec Marantz +1
Spoken word recognition involves at least two basic computations. First is matching acoustic input to phonological categories (e.g. /b/, /p/, /d/). Second is activating words consi…
Concurrent encoding of frequency and amplitude modulation in human auditory cortex: MEG evidence
Huan Luo, Yadong Wang, David Poeppel +1
A natural sound can be described by dynamic changes in envelope (amplitude) and carrier (frequency), corresponding to amplitude modulation (AM) and frequency modulation (FM) respec…