Teodora Vékony (MEMO) published a paper in Cerebral Cortex in collaboration with Adam Takács (University of Dresden, Germany), Barbara Tillmann (CAP and Dijon), Frederic Haesebaert (PSYR2), Felipe Pedraza (MEMO) and Dezső Németh (MEMO).
They employed a combination of RIDE (residue iteration decomposition) and MVPA (multivariate pattern analysis) on data obtained in the Neurocampus' EEG lab to demonstrate that probability information can be decoded both as modality-specific and modality-independent neural representation in sequence learning.
Teodóra Vékony, Ádám Takács, Felipe Pedraza, Frederic Haesebaert, Barbara Tillmann, Imola Mihalecz, Romane Phelipon, Christian Beste, Dezso Nemeth. Modality-specific and modality-independent neural representations work in concert in predictive processes during sequence learning. Cerebral Cortex, bhad079. https://doi.org/10.1093/cercor/bhad079