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      Unfolding Visual Lexical Decision in Time

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      PLoS ONE
      Public Library of Science

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          Abstract

          Visual lexical decision is a classical paradigm in psycholinguistics, and numerous studies have assessed the so-called “lexicality effect" (i.e., better performance with lexical than non-lexical stimuli). Far less is known about the dynamics of choice, because many studies measured overall reaction times, which are not informative about underlying processes. To unfold visual lexical decision in (over) time, we measured participants' hand movements toward one of two item alternatives by recording the streaming x,y coordinates of the computer mouse. Participants categorized four kinds of stimuli as “lexical" or “non-lexical:" high and low frequency words, pseudowords, and letter strings. Spatial attraction toward the opposite category was present for low frequency words and pseudowords. Increasing the ambiguity of the stimuli led to greater movement complexity and trajectory attraction to competitors, whereas no such effect was present for high frequency words and letter strings. Results fit well with dynamic models of perceptual decision-making, which describe the process as a competition between alternatives guided by the continuous accumulation of evidence. More broadly, our results point to a key role of statistical decision theory in studying linguistic processing in terms of dynamic and non-modular mechanisms.

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          Most cited references33

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          The time course of perceptual choice: the leaky, competing accumulator model.

          The time course of perceptual choice is discussed in a model of gradual, leaky, stochastic, and competitive information accumulation in nonlinear decision units. Special cases of the model match a classical diffusion process, but leakage and competition work together to address several challenges to existing diffusion, random walk, and accumulator models. The model accounts for data from choice tasks using both time-controlled (e.g., response signal) and standard reaction time paradigms and its adequacy compares favorably with other approaches. A new paradigm that controls the time of arrival of information supporting different choice alternatives provides further support. The model captures choice behavior regardless of the number of alternatives, accounting for the log-linear relation between reaction time and number of alternatives (Hick's law) and explains a complex pattern of visual and contextual priming in visual word identification.
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            The unique role of the visual word form area in reading.

            Reading systematically activates the left lateral occipitotemporal sulcus, at a site known as the visual word form area (VWFA). This site is reproducible across individuals/scripts, attuned to reading-specific processes, and partially selective for written strings relative to other categories such as line drawings. Lesions affecting the VWFA cause pure alexia, a selective deficit in word recognition. These findings must be reconciled with the fact that human genome evolution cannot have been influenced by such a recent and culturally variable activity as reading. Capitalizing on recent functional magnetic resonance imaging experiments, we provide strong corroborating evidence for the hypothesis that reading acquisition partially recycles a cortical territory evolved for object and face recognition, the prior properties of which influenced the form of writing systems. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              Neural computations that underlie decisions about sensory stimuli.

              Decision-making behavior has been studied extensively, but the neurophysiological mechanisms responsible for this remarkable cognitive ability are just beginning to be understood. Here we propose neural computations that can account for the formation of categorical decisions about sensory stimuli by accumulating information over time into a single quantity: the logarithm of the likelihood ratio favoring one alternative over another. We also review electrophysio-logical studies that have identified brain structures that may be involved in computing this sort of decision variable. The ideas presented constitute a framework for understanding how and where perceptual decisions are formed in the brain.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                26 April 2012
                : 7
                : 4
                : e35932
                Affiliations
                [1 ]Institute of Cognitive Sciences and Technologies, National Research Council (ISTC-CNR), Rome, Italy
                [2 ]Istituto di Linguistica Computazionale “Antonio Zampolli," National Research Council (ILC-CNR), Pisa, Italy
                University of Leicester, United Kingdom
                Author notes

                Conceived and designed the experiments: LB GP. Performed the experiments: LB. Analyzed the data: LB. Contributed reagents/materials/analysis tools: LB GP. Wrote the paper: LB GP.

                Article
                PONE-D-12-01067
                10.1371/journal.pone.0035932
                3338539
                22563419
                c4e58136-db50-4c8c-96a2-7332ad03fe39
                Barca, Pezzulo. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 9 January 2012
                : 27 March 2012
                Page count
                Pages: 9
                Categories
                Research Article
                Medicine
                Mental Health
                Psychology
                Behavior
                Human Performance
                Social and Behavioral Sciences
                Linguistics
                Psycholinguistics
                Psychology
                Behavior
                Human Performance
                Cognitive Psychology
                Experimental Psychology

                Uncategorized
                Uncategorized

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