Author

Brian N. Pasley

University of California, Berkeley

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 4

Signature Assays, Organisms & Methods

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Assay:electronic health records· 4 Approach:statistical model· 4 Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

Robert Thomas KnightiD· 4 shared Andy Christen· 2 shared Anne‐Lise GiraudiD· 2 shared Jaime F. Delgado SaaiD· 2 shared Stéphanie MartiniD· 2 shared Anaïs LlorensiD· 1 shared Christian Alexander MikuttaiD· 1 shared David PoeppeliD· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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4 shared papersNeuroscience

Robert Thomas KnightORCID

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4 papers

Recent·Most cited

Encoding and decoding analysis of music perception using intracranial EEG

Ludovic Bellier, Anaïs Llorens, Déborah Marciano, Gerwin Schalk, Peter Brunner, Robert Thomas Knight, Brian N. Pasley

The paper uses intracranial EEG data to analyze how the brain encodes and decodes music perception, identifying key roles of the right superior temporal gyri.

bioRxiv · Jan 27, 2022 · PreprintNeuroscience

Imagined speech can be decoded from low- and cross-frequency features in perceptual space

Timothée Proix, Jaime F. Delgado Saa, Andy Christen, Stéphanie Martin, Brian N. Pasley, Robert Thomas Knight, Xing Tian, David Poeppel, Werner Doyle, Orrin Devinsky, Luc H. Arnal, Pierre Mégevand, Anne‐Lise Giraud

The paper decodes imagined speech using low- and cross-frequency neural features from electrocorticography data, showing their effectiveness in perceptual speech spaces.

bioRxiv · Jan 26, 2021 · PreprintNeuroscience

Coherence-based spectro-spatial fillters for stimulus features prediction from electrocorticographic recordings.

Jaime Delgado, Andy Christen, Stéphanie Martin, Brian N. Pasley, Robert Thomas Knight, Anne‐Lise Giraud

This paper introduces a coherence-based spectro-spatial filter to predict stimulus features from electrocorticographic recordings, showing improved performance over traditional methods.

bioRxiv · Nov 28, 2018 · PreprintNeuroscience

Neural Encoding of Auditory Features during Music Perception and Imagery: Insight into the Brain of a Piano Player

Stephanie L Martin, Christian Alexander Mikutta, Matthew K. Leonard, Dylan Hungate, Stefan Koelsch, Shihab Shamma, Edward F. Chang, José del R. Millán, Robert Thomas Knight, Brian N. Pasley

Cerebral Cortex · Oct 5, 2017Peer-reviewedNeuroscience