A simple model of the attentional blink and its modulation by mental training.

PLoS Comput Biol

The Edmond and Lily Safra Center for Brain Sciences, Hebrew University, Jerusalem, Israel.

Published: August 2022

AI Article Synopsis

  • The attentional blink (AB) effect refers to a decreased ability to notice a second target (T2) after a first target (T1) is presented quickly in a series of distractions.
  • Mindfulness meditation has been shown to decrease the AB effect and lower T1-evoked P3b brain responses, but the reasons behind this improvement are not yet fully understood.
  • A proposed dynamical-systems model suggests that attentional load acts as a response system influenced by mental noise, with meditation helping to reduce this noise for better performance on tasks.

Article Abstract

The attentional blink (AB) effect is the reduced probability of reporting a second target (T2) that appears shortly after a first one (T1) within a rapidly presented sequence of distractors. The AB effect has been shown to be reduced following intensive mental training in the form of mindfulness meditation, with a corresponding reduction in T1-evoked P3b brain potentials. However, the mechanisms underlying these effects remain unknown. We propose a dynamical-systems model of the AB, in which attentional load is described as the response of a dynamical system to incoming impulse signals. Non-task related mental activity is represented by additive noise modulated by meditation. The model provides a parsimonious computational framework relating behavioral performance, evoked brain potentials and training through the concept of reduced mental noise.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462776PMC
http://dx.doi.org/10.1371/journal.pcbi.1010398DOI Listing

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