Keyword search (4,164 papers available)

"coding" Keyword-tagged Publications:

Title Authors PubMed ID
1 A protocol for trustworthy EEG decoding with neural networks Borra D; Magosso E; Ravanelli M; 39549492
ENCS
2 Generalization limits of Graph Neural Networks in identity effects learning D' Inverno GA; Brugiapaglia S; Ravanelli M; 39426036
ENCS
3 SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals Borra D; Paissan F; Ravanelli M; 39265481
ENCS
4 Cortical-subcortical interactions underlie processing of auditory predictions measured with 7T fMRI Ara A; Provias V; Sitek K; Coffey EBJ; Zatorre RJ; 39087881
PSYCHOLOGY
5 Transcoding of French numbers for first- and second-language learners in third grade Lafay A; Adrien E; Lonardo Burr SD; Douglas H; Provost-Larocque K; Xu C; LeFevre JA; Maloney EA; Osana HP; Skwarchuk SL; Wylie J; 37129448
EDUCATION
6 Context changes judgments of liking and predictability for melodies Albury AW; Bianco R; Gold BP; Penhune VB; 38034280
PSYCHOLOGY
7 Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data Thölke P; Mantilla-Ramos YJ; Abdelhedi H; Maschke C; Dehgan A; Harel Y; Kemtur A; Mekki Berrada L; Sahraoui M; Young T; Bellemare Pépin A; El Khantour C; Landry M; Pascarella A; Hadid V; Combrisson E; O' Byrne J; Jerbi K; 37385392
IMAGING
8 Decoding of Envelope vs. Fundamental Frequency During Complex Auditory Stream Segregation Greenlaw KM; Puschmann S; Coffey EBJ; 37215227
PSYCHOLOGY
9 Comparing microscopy and DNA metabarcoding techniques for identifying cyanobacteria assemblages across hundreds of lakes MacKeigan PW; Garner RE; Monchamp MÈ; Walsh DA; Onana VE; Kraemer SA; Pick FR; Beisner BE; Agbeti MD; da Costa NB; Shapiro BJ; Gregory-Eaves I; 35287928
BIOLOGY
10 Energy migration control of multi-modal emissions in an Er3+ doped nanostructure toward information encryption and deep learning decoding Song Y; Lu M; Mandl GA; Xie Y; Sun G; Chen J; Liu X; Capobianco JA; Sun L; 34476872
ENCS
11 Coding Public Health Interventions for Health Technology Assessments: A Pilot Experience With WHO's International Classification of Health Interventions (ICHI) Wübbeler M; Geis S; Stojanovic J; Elliott L; Gutierrez-Ibarluzea I; Lenoir-Wijnkoop I; 34222165
HKAP

 

Title:Decoding of Envelope vs. Fundamental Frequency During Complex Auditory Stream Segregation
Authors:Greenlaw KMPuschmann SCoffey EBJ
Link:https://pubmed.ncbi.nlm.nih.gov/37215227/
DOI:10.1162/nol_a_00013
Publication:Neurobiology of language (Cambridge, Mass.)
Keywords:auditory stream segregationhearing-in-noiseneural decodingpitch representationreconstructionspeech-in-noise
PMID:37215227 Category: Date Added:2023-05-22
Dept Affiliation: PSYCHOLOGY

Description:

Hearing-in-noise perception is a challenging task that is critical to human function, but how the brain accomplishes it is not well understood. A candidate mechanism proposes that the neural representation of an attended auditory stream is enhanced relative to background sound via a combination of bottom-up and top-down mechanisms. To date, few studies have compared neural representation and its task-related enhancement across frequency bands that carry different auditory information, such as a sound's amplitude envelope (i.e., syllabic rate or rhythm; 1-9 Hz), and the fundamental frequency of periodic stimuli (i.e., pitch; >40 Hz). Furthermore, hearing-in-noise in the real world is frequently both messier and richer than the majority of tasks used in its study. In the present study, we use continuous sound excerpts that simultaneously offer predictive, visual, and spatial cues to help listeners separate the target from four acoustically similar simultaneously presented sound streams. We show that while both lower and higher frequency information about the entire sound stream is represented in the brain's response, the to-be-attended sound stream is strongly enhanced only in the slower, lower frequency sound representations. These results are consistent with the hypothesis that attended sound representations are strengthened progressively at higher level, later processing stages, and that the interaction of multiple brain systems can aid in this process. Our findings contribute to our understanding of auditory stream separation in difficult, naturalistic listening conditions and demonstrate that pitch and envelope information can be decoded from single-channel EEG data.





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