McCall E. Sarrett
Villanova University
12 Papers
1 Citations
McCall E. Sarrett is an academic researcher from Villanova University. The author has contributed to research in topics: Computer science & Electroencephalography. The author has an hindex of 2, co-authored 3 publications. Previous affiliations of McCall E. Sarrett include University of Iowa & University of Tennessee.
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Papers
Decoding the temporal dynamics of spoken word and nonword processing from EEG
Bob McMurray,McCall E. Sarrett,Samantha Chiu,Alexis K. Black,Alice F. Wang,Rebecca Canale,Richard N. Aslin +6 more
TL;DR: The authors applied machine learning techniques to standard EEG signals to decode which word was heard on each trial and analyzed the patterns of confusion over time, finding that early on, the decoder was equally likely to report the target (e.g., baggage) or a similar sounding competitor (badger), but by around 500 msec, competitors were suppressed.
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Within- and between-language competition in adult second language learners: implications for language proficiency
TL;DR: Second language (L2) learners must not only acquire L2 knowledge (i.e. vocabulary and grammar) but they must also rapidly access this knowledge in order to improve their ability to recognize spoken word recognition as discussed by the authors.
Immediate neural impact and incomplete compensation after semantic hub disconnection
Zsuzsanna Kocsis,Rick L. Jenison,Peter N. Taylor,Ryan M. Calmus,Bob McMurray,Ariane E. Rhone,McCall E. Sarrett,Carolina Deifelt Streese,Yukiko Kikuchi,Phillip E. Gander,Joel I. Berger,Christopher K. Kovach,Inyong Choi,J. D. Greenlee,Hiroto Kawasaki,Thomas E. Cope,Timothy D. Griffiths,Matthew A. Howard,Christopher I. Petkov +18 more
TL;DR: Patients undergoing a rare operation reveal the immediate impact and compensatory brain network changes that occur when a key hub is removed, and validate modern diaschisis and predictive coding frameworks and reveal an immediately impact and capability of the human brain to adjust after losing a brain hub.
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Immediate neural network impact after the loss of a semantic hub
Zsuzsanna Kocsis,Rick L. Jenison,Thomas E. Cope,Peter N Taylor,Ryan Calmus,Bob McMurray,Ariane E. Rhone,McCall E. Sarrett,Yukiko Kikuchi,Phillip E. Gander,Joel I. Berger,Christopher K. Kovach,Inyong Choi,Jeremy D.W. Greenlee,Hiroto Kawasaki,Timothy D. Griffiths,Matthew A. Howard,Christopher I. Petkov +17 more
TL;DR: This study provides direct causal evidence for a semantic hub in the human brain and shows striking neural impact and a rapid attempt at compensation in a neural network after the loss of one of its hubs.
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Decoding speech sounds from neurophysiological data: Practical considerations and theoretical implications.
McCall E. Sarrett,Joseph C Toscano +1 more
TL;DR: Three analyses using data from a previous study that examined event-related potential responses to a wide range of naturally-produced speech sounds find that voicing and manner are decodable from neural activity, whereas place of articulation is not.
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