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Poster De Conférence Année : 2023

The sensitivity of SSVEPs to variations in numerical material for automatic Processing of Small magnitudes

Résumé

We investigated the human ability to automatically process small magnitude information, using an oddball fast-periodic visual stimulation paradigm featuring a periodic alteration of magnitude (2 vs. 4) at a frequency of 1.25 Hz. Participants were exposed to various types of numerical content, such as biological (fingers), analogical (dots), and symbolic (Arabic digits), presented either in their conventional format (canonical) or in alternative formats (non-canonical), all synchronized at a base rate of 6.25 Hz. Our primary objective was to ascertain the sensitivity of steady-state visual evoked potentials (SSVEPs) to subtle small magnitude variations in relation to the specific type of numerical material. SSVEPs were consistently observed at the base rate, corresponding to the presentation of the visual stimuli. Variations across conditions in terms of their location is examined, as well as the amplitude of the SSVEPs which is influenced by the type of material presented. Additionally, oddball SSVEPs emerged at a frequency of 1.25 Hz (and its harmonics) for each numerical content, suggesting the ability to discriminating the change of magnitude in each instance. However, the neural response exhibited distinctive characteristics based on the type of material presented. These findings demonstrate that SSVEPs, while maintaining consistency in their presence across conditions, exhibit a sensitivity to variations in the type of numerical material, shedding light on the neural processes involved in the automatic processing of small magnitude information.
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Dates et versions

hal-04356879 , version 1 (20-12-2023)

Identifiants

  • HAL Id : hal-04356879 , version 1

Citer

Adrien Lorant, Anahita Basirat, Marine Coeugnet, Marion A. Vincent, Sandrine Mejias. The sensitivity of SSVEPs to variations in numerical material for automatic Processing of Small magnitudes. NeuroCog2023, Nov 2023, Bruxelles, Belgium. ⟨hal-04356879⟩
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