Noise covariance incorporated MEG-MUSIC algorithm: a method for multiple-dipole estimation tolerant of the influence of background brain activity. - Kensuke Sekihara; David Poeppel; Alec Marantz; Hideaki Koizumi; Yasushi Miyashita (IEEE Trans. Biomed. Eng., 1997)

MEG covariance difference analysis: a method to extract target source activities by using task and control measurements. - Kensuke Sekihara; David Poeppel; Alec Marantz; Colin Phillips; Hideaki Koizumi; Yasushi Miyashita (IEEE Trans. Biomed. Eng., 1998)

MEG spatio-temporal analysis using a covariance matrix calculated from nonaveraged multiple-epoch data. - Kensuke Sekihara; David Poeppel; Alec Marantz; Hideaki Koizumi; Yasushi Miyashita (IEEE Trans. Biomed. Eng., 1999)

Time-Frequency MEG-MUSIC Algorithm. - Kensuke Sekihara; Srikantan S. Nagarajan; David Poeppel; Yasushi Miyashita (IEEE Trans. Medical Imaging, 1999)

Estimating neural sources from each time-frequency component of magnetoencephalographic data. - Kensuke Sekihara; Srikantan S. Nagarajan; David Poeppel; Satoru Miyauchi; Norio Fujimaki; Hideaki Koizumi; Yasushi Miyashita (IEEE Trans. Biomed. Eng., 2000)

Reconstructing spatio-temporal activities of neural sources from magnetoencephalographic data using a vector beamformer. - Kensuke Sekihara; Srikantan S. Nagarajan; David Poeppel; Yasushi Miyashita (ICASSP, 2001)

New approaches to the neural basis of speech sound processing: introduction to special section on brain and speech. - David Poeppel (Cogn. Sci., 2001)

Pure word deafness and the bilateral processing of the speech code. - David Poeppel (Cogn. Sci., 2001)

Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique. - Kensuke Sekihara; Srikantan S. Nagarajan; David Poeppel; Alec Marantz; Yasushi Miyashita (IEEE Trans. Biomed. Eng., 2001)

Performance of an MEG adaptive-beamformer technique in the presence of correlated neural activities: correlation-coefficient estimation and time-course retrieval. - Kensuke Sekihara; Srikantan S. Nagarajan; David Poeppel; Alec Marantz (ISBI, 2002)

Performance of an MEG adaptive-beamformer technique in the presence of correlated neural activities: effects on signal intensity and time-course estimates. - Kensuke Sekihara; Srikantan S. Nagarajan; David Poeppel; Alec Marantz (IEEE Trans. Biomed. Eng., 2002)

Discrimination of auditory-visual synchrony. - Ken W. Grant; Virginie van Wassenhove; David Poeppel (AVSP, 2003)

Electrophysiology of auditory-visual speech integration. - Virginie van Wassenhove; Ken W. Grant; David Poeppel (AVSP, 2003)

Brain imaging correlates of temporal quantization in spoken language. - David Poeppel (INTERSPEECH, 2003)

The analysis of speech in different temporal integration windows: cerebral lateralization as 'asymmetric sampling in time'. - David Poeppel (Speech Commun., 2003)

Systematic latency variation of the auditory evoked M100: from average to single-trial data. - A. Salajegheh; Alfred Link; Clemens Elster; Martin Burghoff; Tilmann Heinrich Sander; Lutz Trahms; David Poeppel (NeuroImage, 2004)

Detection of auditory (cross-spectral) and auditory-visual (cross-modal) synchrony. - Ken W. Grant; Virginie van Wassenhove; David Poeppel (Speech Commun., 2004)

Performance of an MEG adaptive-beamformer source reconstruction technique in the presence of additive low-rank interference. - Kensuke Sekihara; Srikantan S. Nagarajan; David Poeppel; Alec Marantz (IEEE Trans. Biomed. Eng., 2004)

Asymptotic SNR of scalar and vector minimum-variance beamformers for neuromagnetic source reconstruction. - Kensuke Sekihara; Srikantan S. Nagarajan; David Poeppel; Alec Marantz (IEEE Trans. Biomed. Eng., 2004)

Comprehensive modulation representation for automatic speech recognition. - Yadong Wang; Steven Greenberg; Jayaganesh Swaminathan; Ramdas Kumaresan; David Poeppel (INTERSPEECH, 2005)

Discrimination and categorization of speech and non-speech sounds in an MEG delayed-match-to-sample study. - Huan Luo; Fatima T. Husain; Barry Horwitz; David Poeppel (NeuroImage, 2005)

Governing Board Symposium The Biology of Language in the 21st Century. - Noam Chomsky; David Poeppel; Patricia S. Churchland; Elissa L. Newport (CogSci, 2011)

TopoToolbox: Using Sensor Topography to Calculate Psychologically Meaningful Measures from Event-Related EEG/MEG. - Xing Tian; David Poeppel; David E. Huber (Comput. Intell. Neurosci., 2011)

Evidence for Early Morphological Decomposition: Combining Masked Priming with Magnetoencephalography. - Minna Lehtonen; Philip J. Monahan; David Poeppel (J. Cogn. Neurosci., 2011)

What Does the Right Hemisphere Know about Phoneme Categories? - Michael Wolmetz; David Poeppel; Brenda Rapp (J. Cogn. Neurosci., 2011)

The neuromagnetic response to spoken sentences: Co-modulation of theta band amplitude and phase. - Mary F. Howard; David Poeppel (NeuroImage, 2012)

The Effect of Imagination on Stimulation: The Functional Specificity of Efference Copies in Speech Processing. - Xing Tian; David Poeppel (J. Cogn. Neurosci., 2013)

Acoustic landmarks drive delta-theta oscillations to enable speech comprehension by facilitating perceptual parsing. - Keith B. Doelling; Luc H. Arnal; Oded Ghitza; David Poeppel (NeuroImage, 2014)

Dynamics of Self-monitoring and Error Detection in Speech Production: Evidence from Mental Imagery and MEG. - Xing Tian; David Poeppel (J. Cogn. Neurosci., 2015)

Phonological (un)certainty weights lexical activation. - Laura Gwilliams; David Poeppel; Alec Marantz; Tal Linzen (CMCL, 2018)

Categorical rhythms shared between songbirds and humans. - Tina Roeske; Ofer Tchernichovski; David Poeppel; Nori Jacoby (CogSci, 2019)

Brain-to-Brain Synchrony and Learning Outcomes Vary by Student-Teacher Dynamics: Evidence from a Real-world Classroom Electroencephalography Study. - Dana Bevilacqua; Ido Davidesco; Lu Wan; Kim Chaloner; Jess Rowland; Mingzhou Ding; David Poeppel; Suzanne Dikker (J. Cogn. Neurosci., 2019)

A division of labor between power and phase coherence in encoding attention to stimulus streams. - Alessandro Tavano; David Poeppel (NeuroImage, 2019)

Speech fine structure contains critical temporal cues to support speech segmentation. - Xiangbin Teng; Gregory B. Cogan; David Poeppel (NeuroImage, 2019)

Understanding Requires Tracking: Noise and Knowledge Interact in Bilingual Comprehension. - Esti Blanco-Elorrieta; Nai Ding; Liina Pylkkänen; David Poeppel (J. Cogn. Neurosci., 2020)

Crowdsourcing neuroscience: Inter-brain coupling during face-to-face interactions outside the laboratory. - Suzanne Dikker; Georgios Michalareas; Matthias Oostrik; Amalia Serafimaki; Hasibe Melda Kahraman; Marijn E. Struiksma; David Poeppel (NeuroImage, 2021)

MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing. - Laura Gwilliams; Graham Flick; Alec Marantz; Liina Pylkkänen; David Poeppel; Jean-Remi King (CoRR, 2022)

Memory in humans and deep language models: Linking hypotheses for model augmentation. - Omri Raccah; Phoebe Chen; Theodore L. Willke; David Poeppel; Vy A. Vo (CoRR, 2022)

Thematic relations outperform taxonomic relations in a cued recall task. - Weijia Cao; Omri Raccah; Phoebe Chen; David Poeppel (CogSci, 2023)

Formal Models at the Core. - Emmanuel Chemla; Isabelle Charnavel; Isabelle Dautriche; David Embick; Fred Lerdahl; Pritty Patel-Grosz; David Poeppel; Philippe Schlenker (Cogn. Sci., 2023)

Successes and critical failures of neural networks in capturing human-like speech recognition. - Federico Adolfi; Jeffrey S. Bowers; David Poeppel (Neural Networks, 2023)

Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. - Martina G. Vilas; Federico Adolfi; David Poeppel; Gemma Roig (ICML, 2024)

Position Paper: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. - Martina G. Vilas; Federico Adolfi; David Poeppel; Gemma Roig (CoRR, 2024)

Multimodal Machine Learning Can Predict Videoconference Fluidity and Enjoyment. - Andrew Chang 003; Viswadruth Akkaraju; Ray McFadden Cogliano; David Poeppel; Dustin Freeman (ICASSP, 2025)

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds. - Andrew Chang 003; Yike Li; Iran R. Roman; David Poeppel (CoRR, 2025)

Multimodal Fusion with Semi-Supervised Learning Minimizes Annotation Quantity for Modeling Videoconference Conversation Experience. - Andrew Chang 003; Chenkai Hu; Ji Qi; Zhuojian Wei; Kexin Zhang; Viswadruth Akkaraju; David Poeppel; Dustin Freeman (CoRR, 2025)