Keyword search (4,163 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:Cortical-subcortical interactions underlie processing of auditory predictions measured with 7T fMRI
Authors:Ara AProvias VSitek KCoffey EBJZatorre RJ
Link:https://pubmed.ncbi.nlm.nih.gov/39087881/
DOI:10.1093/cercor/bhae316
Publication:Cerebral cortex (New York, N.Y. : 1991)
Keywords:abstract rulesauditory expectancycortical-subcortical interactionshigh-field fMRIpredictive coding
PMID:39087881 Category: Date Added:2024-08-01
Dept Affiliation: PSYCHOLOGY
1 Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada.
2 International Laboratory for Brain, Music and Sound Research (BRAMS), 90 Vincent-d'Indy Avenue, Outremont, QC H2V 2S9, Canada.
3 Centre for Research in Brain, Language and Music (CRBLM), 3640 de la Montagne Street, Montreal, QC H3G 2A8, Canada.
4 Department of Psychology, Concordia University, 7141 Sherbrooke Street West, Montreal, QCH4B 1R6, Canada.
5 Department of Communication Sciences and Disorders, Northwestern University, 2240 Campus Drive, Evanston, 60208 IL, USA.

Description:

Perception integrates both sensory inputs and internal models of the environment. In the auditory domain, predictions play a critical role because of the temporal nature of sounds. However, the precise contribution of cortical and subcortical structures in these processes and their interaction remain unclear. It is also unclear whether these brain interactions are specific to abstract rules or if they also underlie the predictive coding of local features. We used high-field 7T functional magnetic resonance imaging to investigate interactions between cortical and subcortical areas during auditory predictive processing. Volunteers listened to tone sequences in an oddball paradigm where the predictability of the deviant was manipulated. Perturbations in periodicity were also introduced to test the specificity of the response. Results indicate that both cortical and subcortical auditory structures encode high-order predictive dynamics, with the effect of predictability being strongest in the auditory cortex. These predictive dynamics were best explained by modeling a top-down information flow, in contrast to unpredicted responses. No error signals were observed to deviations of periodicity, suggesting that these responses are specific to abstract rule violations. Our results support the idea that the high-order predictive dynamics observed in subcortical areas propagate from the auditory cortex.





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