CAOS 2026 - Part 5 | Rovereto, 6 - 8 May | Marieke Mur

CAOS 2026 - Part 5 | Rovereto, 6 - 8 May | Marieke Mur

🎙 Marieke Mur 👥 2K 📅 September 21, 2026 ⏱ 68 min 👁 15 📄 original study 🧭 2026-10-15
Available in: English (current) Français

Keywords

frequency-tagged fMRIobject competitiondivisive normalizationretinotopyintermodulation

Summary

The talk by Marieke Mur introduces frequency-tagged fMRI as a new platform to investigate neural competition and attention in human visual cortex. Building on electroencephalography (EEG) and magnetoencephalography (MEG) paradigms, the method tags simultaneously presented stimuli with distinct low frequencies, allowing the fMRI signal to be disentangled for each stimulus. The presenter first reviews challenges in studying competition, then describes an adaptation of the design where two wedges oscillate at different frequencies while participants perform a demanding color-change detection task away from the stimuli. Results show that fMRI can reliably detect frequency-tagged responses in early visual cortex, with maps that respect retinotopic organization. Furthermore, voxels responding to both stimuli (‘multiplexing’) show reduced amplitudes relative to single-stimulus voxels, suggesting competitive normalization. The presence of intermodulation components (nonlinear interactions between the two driving frequencies) in the frequency spectrum provides a more direct index of normalization, consistent with the divisive normalization model. The talk concludes with ongoing work and future directions, highlighting the potential of this technique for studying object competition and attentional effects in the human brain.

175 words

Critical Evaluation

Value of the Information & Strength of the Argument

The talk demonstrates a significant methodological advance by extending frequency-tagging to fMRI with multiple stimuli, enabling the study of neural competition with high spatial resolution. The argumentation is logical and rigorous: it starts with a clear motivation, explains the limitations of existing methods, and systematically validates the approach through behavioral performance, gaze monitoring, retinotopic mapping, and cross-validation across data splits. The use of a control condition without tagging strengthens the interpretation. The presenter also grounds predictions in established physiological principles (e.g., divisive normalization) and uses simulations to support the link between intermodulation components and normalization. While the focus is on proof-of-concept with a limited number of participants, the evidence is compelling and opens new avenues for non-invasive investigation of local neural interactions.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is high: the experimental design is careful, with attention to confounds (fixation, attention, stimulus size), and the analysis uses standard fMRI frameworks (GLM) with appropriate statistical thresholds and split-half consistency. The talk cites previous work (e.g., Laura Lewis et al., Kim et al., Bruno Rossion’s group) and the conference link is provided, although no direct URLs to specific papers are given. The title is accurate and descriptive, clearly indicating the topic and part of a workshop series. There are no obvious discrepancies between title and content.

226 words

Title / Content Match

The title accurately reflects the talk's content, which focuses on frequency-tagged fMRI as a platform for studying object competition and attention.

Quality & Reliability

8/10

The talk presents a well-designed novel methodological approach (frequency-tagged fMRI) with clear rationale, robust within-subject replication, and thoughtful analyses; however, results are not yet peer-reviewed and some claims rely on simulations, giving a high but not maximum reliability score.

Key Moments

Cited Sources

Contribution & Novelties

The main novelty is the successful adaptation of frequency-tagging to fMRI for simultaneous presentation of two stimuli, enabling direct measurement of neural competition in the human visual cortex. The talk provides evidence for multiplexing voxels and intermodulation components, offering a non-invasive method to index divisive normalization. This opens new possibilities for studying attentional selection and object recognition in health and disease.

Pour aller plus loin :

  • Divisive normalization — Key computational principle underlying the interpretation of multiplexing and intermodulation.
  • Retinotopy — The spatial organization of visual cortex, crucial for interpreting the maps shown.
  • Steady-state visual evoked potential — The EEG counterpart of frequency tagging, providing the conceptual and methodological foundation.

110 words

Radar Profile

The radar profile shows very high technical level and high information quantity/quality, with moderate reliability due to unpublished status. The talk is heavily method-oriented, with strong emphasis on experimental design and signal processing, indicating a specialized scientific audience.

Reliability 7/10