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Article
Age-related changes of interoceptive brain networks: Implications for interoception and alexithymia

Dobrushina O. R., Dobrynina L. A., Arina G. A. et al.

Emotion. 2024. No. 6. P. 1536-1549.

Book chapter
Unraveling the Complexities of Motor Imagery and Its Impact on the Brain's Capabilities
In press

Perevoznyuk G., Ragimova A., Батов А. А. et al.

In bk.: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN). IEEE, 2024. P. 140 - 143.

Parallel averaging of size is possible but range-limited: A reply to Marchant, Simons, and De Fockert – New publication in Acta Psychologica

New experimental article "Parallel averaging of size is possible but range-limited: A reply to Marchant, Simons, and De Fockert" by Igor Utochkin and Natalia Tiurina published in Acta Psychologica. Abstract

Utochkin, I. S., & Tiurina, N. A. (2014). Parallel averaging of size is possible but range-limited: A reply to Marchant, Simons, and De Fockert. Acta Psychologica, 146(0), 7–18. doi: 10.1016/j.actpsy.2013.11.012

Abstract

In their recent paper, Marchant, Simons, and De Fockert (2013) claimed that the ability to average between multiple items of different sizes is limited by small samples of arbitrarily attended members of a set. This claim is based on a finding that observers are good at representing the average when an ensemble includes only two sizes distributed among all items (regular sets), but their performance gets worse when the number of sizes increases with the number of items (irregular sets). We argue that an important factor not considered by Marchant et al. (2013) is the range of size variation that was much bigger in their irregular sets. We manipulated this factor across our experiments and found almost the same efficiency of averaging for both regular and irregular sets when the range was stabilized. Moreover, highly regular sets consisting only of small and large items (two-peaks distributions) were averaged with greater error than sets with small, large, and intermediate items, suggesting a segmentation threshold determining whether all variable items are perceived as a single ensemble or distinct subsets. Our results demonstrate that averaging can actually be parallel but the visual system has some difficulties with it when some items differ too much from others.