Skip to main content

Research Repository

Advanced Search

Einat Rashal's Outputs (15)

Unravelling the interplay of Statistical Learning, Top-Down, and Bottom-Up Mechanisms during target selection: Insights from Behavioural and EEG Experiments (2024)
Journal Article
Dolci, C., Boehler, C. N., Rashal, E., Ben-Hamed, S., Macaluso, E., Chelazzi, L., & Santandrea, E. (in press). Unravelling the interplay of Statistical Learning, Top-Down, and Bottom-Up Mechanisms during target selection: Insights from Behavioural and EEG Experiments. Journal of Vision, 24(10), Article 802. https://doi.org/10.1167/jov.24.10.802

The natural environment exhibits consistent patterns, rendering it repetitive and partially predictable. Statistical learning (SL) enables us to discern these regularities from past experiences to then direct attention toward relevant elements for ou... Read More about Unravelling the interplay of Statistical Learning, Top-Down, and Bottom-Up Mechanisms during target selection: Insights from Behavioural and EEG Experiments.

The dynamics of statistical learning in visual search and its interaction with salience processing: An EEG study (2024)
Journal Article
Dolci, C., Rashal, E., Santandrea, E., Hamed, S. B., Chelazzi, L., Macaluso, E., & Boehler, C. N. (2024). The dynamics of statistical learning in visual search and its interaction with salience processing: An EEG study. NeuroImage, 286, Article 120514. https://doi.org/10.1016/j.neuroimage.2024.120514

Visual attention can be guided by statistical regularities in the environment, that people implicitly learn from past experiences (statistical learning, SL). Moreover, a perceptually salient element can automatically capture attention, gaining proces... Read More about The dynamics of statistical learning in visual search and its interaction with salience processing: An EEG study.

Specific Gestalt principles cannot explain (un)crowding (2023)
Journal Article
Choung, O., Rashal, E., Kunchulia, M., & Herzog, M. H. (in press). Specific Gestalt principles cannot explain (un)crowding. Frontiers in Computer Science, 5, Article 1154957. https://doi.org/10.3389/fcomp.2023.1154957

The standard physiological model has serious problems accounting for many aspects of vision, particularly when stimulus configurations become slightly more complex than the ones classically used, e.g., configurations of Gabors rather than only one or... Read More about Specific Gestalt principles cannot explain (un)crowding.