How labels shape visuocortical processing in infants.

The current study examined the extent to which labels shape visuocortical processing during the first year of life during a brief (~6-min) associative learning task. Images of computer-generated artificial objects were paired with either individual-level (e.g., Jimmy, Boris) or category-level labels (e.g., Hitchel) while event-related potentials were recorded in response to the onset of the visual stimulus in 6- (n = 41), 9- (n = 27), and 12-month-old (n = 28) infants. Analyses examined experience-dependent visuocortical changes within and across trials, label conditions, and ages. Overall, results demonstrate that infants deploy greater visuocortical resources during the first half of associative learning trials and to stimuli paired with category-level relative to individual-level labels. Waveform morphologies also differed between stimuli paired with individual- and category-level labels and across the age groups, with more complex deflections and amplitude differences between label type at 9- and 12-month-olds, but not 6-month-old infants. The present results highlight the importance of associative learning during infancy and suggest that category- versus individual-level labels differentially direct infant attention and visuocortical processing.

Don't force it! Gradient speech categorization calls for continuous categorization tasks.

Research on speech categorization and phoneme recognition has relied heavily on tasks in which participants listen to stimuli from a speech continuum and are asked to either classify each stimulus (identification) or discriminate between them (discrimination). Such tasks rest on assumptions about how perception maps onto discrete responses that have not been thoroughly investigated. Here, we identify critical challenges in the link between these tasks and theories of speech categorization. In particular, we show that patterns that have traditionally been linked to categorical perception could arise despite continuous underlying perception and that patterns that run counter to categorical perception could arise despite underlying categorical perception. We describe an alternative measure of speech perception using a visual analog scale that better differentiates between processes at play in speech categorization, and we review some recent findings that show how this task can be used to better inform our theories.

A Bayesian hierarchical model for the analysis of visual analogue scaling tasks.

In psychophysics and psychometrics, an integral method to the discipline involves charting how a person's response pattern changes according to a continuum of stimuli. For instance, in hearing science, Visual Analog Scaling tasks are experiments in which listeners hear sounds across a speech continuum and give a numeric rating between 0 and 100 conveying whether the sound they heard was more like word "a" or more like word "b" (i.e. each participant is giving a continuous categorization response). By taking all the continuous categorization responses across the speech continuum, a parametric curve model can be fit to the data and used to analyze any individual's response pattern by speech continuum. Standard statistical modeling techniques are not able to accommodate all of the specific requirements needed to analyze these data. Thus, Bayesian hierarchical modeling techniques are employed to accommodate group-level non-linear curves, individual-specific non-linear curves, continuum-level random effects, and a subject-specific variance that is predicted by other model parameters. In this paper, a Bayesian hierarchical model is constructed to model the data from a Visual Analog Scaling task study of mono-lingual and bi-lingual participants. Any nonlinear curve function could be used and we demonstrate the technique using the 4-parameter logistic function. Overall, the model was found to fit particularly well to the data from the study and results suggested that the magnitude of the slope was what most defined the differences in response patterns between continua.

The development of real-time spoken and word recognition derives from changes in ability, not maturation.

In typical adults, recognizing both spoken and written words is thought to be served by a process of competition between candidates in the lexicon. In recent years, work has used eye-tracking in the visual world paradigm to characterize this competition process over development. It has shown that both spoken and written word recognition continue to develop through adolescence (Rigler et al., 2015). It is still unclear what drives these changes in real-time word recognition over the school years, as there are dramatic changes in language, the onset of reading instruction, and gains in domain general function during this time. This study began to address these issues by asking whether changes in real-time word recognition derive from changes in overall language and reading ability or reflect more general age-related development. This cross-sectional study examined 278 school-age children (Grades 1-3) using the Visual World Paradigm to assess both spoken and written word recognition, along with multiple measures of language, reading and phonology. A structural equation model applied to these ability measures found three factors representing language, reading, and phonology. Multiple regression analyses were used to understand how these three factors relate to real-time spoken and written word recognition as well as a non-linguistic variant of the VWP intended to capture decision speed, eye-movement factors, and other non-language/reading differences. We found that for both spoken and written word recognition, the speed of activating target words in both domains was more closely tied to the relevant ability (e.g., reading for written word recognition) than was age. We also examined competition resolution (how fully competitors were suppressed late in processing). Here, spoken word recognition showed only small, developmental effects that were only related to phonological processing, suggesting links to developmental language disorder. However, in written word recognition, competitor resolution showed large impacts of development which were strongly linked to reading. This suggests the dimensionality of real-time lexical processing may differ across domains. Importantly, neither spoken nor written word recognition is fully described by changes in non-linguistic skills assessed with non-linguistic VWP, and the non-linguistic VWP was linked to differences in language and reading. These findings suggest that spoken and written word recognition continue past the first year of life and are mostly driven by ability and not only by overall maturation.

A systems approach to multilingual language attitudes: A case study of Montréal, Québec, Canada.

Purpose: People are shaped holistically by dynamic and interrelated individual and social-ecological systems. This perspective has been discussed in the context of varied aspects of bilingual experiences, namely language acquisition and development. Here, we applied a Systems Framework of Bilingualism to language attitudes, which may be especially responsive to social-ecological influences. Methodology: One hundred twenty-three French-English bilingual adults (M age = 21.20, SD = 3.21) completed self-report questionnaires on demographic information and their attitudes toward languages. A subset of these bilinguals (n = 73) completed a social network survey. Data and analysis: We used language-tagged social network analysis and geospatial demographic analysis to examine the role of individual characteristics (i.e., first language), interpersonal language dynamics (i.e., person-to-person interactions), and ecological language dynamics (i.e., neighborhood language exposure). Findings and Conclusions: At an individual level, we found that bilinguals' language background (i.e., first language) predicted attitudes of solidarity toward a language (i.e., whether a language is associated with personal identity and belongingness). When considering sociolinguistic layers of influence, we found that bilinguals' social network and neighborhood-level language exposure jointly predicted their attitudes of solidarity toward a language, as well as their attitudes toward the protection of minority languages. Originality: While most studies have examined language experience in a unidimensional nature, the present study investigated multilingual language attitudes by considering multiple systems within a social-ecological framework. Implications: Taken together, the results suggest that several interrelated interpersonal and ecological systems are associated with language attitudes, which could have important implications for planning future language policies in multilingual societies such as Montréal.

Underlying dimensions of real-time word recognition in cochlear implant users.

Word recognition is a gateway to language, linking sound to meaning. Prior work has characterized its cognitive mechanisms as a form of competition between similar-sounding words. However, it has not identified dimensions along which this competition varies across people. We sought to identify these dimensions in a population of cochlear implant users with heterogenous backgrounds and audiological profiles, and in a lifespan sample of people without hearing loss. Our study characterizes the process of lexical competition using the Visual World Paradigm. A principal component analysis reveals that people's ability to resolve lexical competition varies along three dimensions that mirror prior small-scale studies. These dimensions capture the degree to which lexical access is delayed ("Wait-and-See"), the degree to which competition fully resolves ("Sustained-Activation"), and the overall rate of activation. Each dimension is predicted by a different auditory skills and demographic factors (onset of deafness, age, cochlear implant experience). Moreover, each dimension predicts outcomes (speech perception in quiet and noise, subjective listening success) over and above auditory fidelity. Higher degrees of Wait-and-See and Sustained-Activation predict poorer outcomes. These results suggest the mechanisms of word recognition vary along a few underlying dimensions which help explain variable performance among listeners encountering auditory challenge.

A label isn't just a label: Brief training leads to label-dependent visuo-cortical processing in adults.

The current study examines the extent to which hearing individual-level names (e.g., Jimmy) and category-level labels (e.g., Hitchel) paired with novel objects impacts neural responses across a brief (6 min) learning period. Event-related Potentials (ERPs) were recorded while adult participants (n = 44) viewed and heard exemplars of two different species of named novel objects. ERPs were examined for each labeling condition and compared across the first and second half of the learning trials (∼3 min/half). Mean amplitude decreased for the P1 and increased for the N170 from the first to the second half of trials. The decrease in P1 was right lateralized. In addition, the P1 amplitude recorded over right occipitotemporal regions was greater than left occipitotemporal areas, but only for objects paired with individual-level labels. Category-level labels did not show regional P1 differences. The N250 component was greatest over the right occipitotemporal region and was enhanced for objects labeled with individual-level relative to category-level names during the second half of trials. Overall, these findings highlight the unfolding of label-dependent visual processing across a short training period in adults. The results suggest that linguistic labels have an important, top-down impact, on visual processing and that label specificity shapes visuo-cortical responses within a 6-min learning period.

Moving away from deficiency models: Gradiency in bilingual speech categorization.

For much of its history, categorical perception was treated as a foundational theory of speech perception, which suggested that quasi-discrete categorization was a goal of speech perception. This had a profound impact on bilingualism research which adopted similar tasks to use as measures of nativeness or native-like processing, implicitly assuming that any deviation from discreteness was a deficit. This is particularly problematic for listeners like heritage speakers whose language proficiency, both in their heritage language and their majority language, is questioned. However, we now know that in the monolingual listener, speech perception is gradient and listeners use this gradiency to adjust subphonetic details, recover from ambiguity, and aid learning and adaptation. This calls for new theoretical and methodological approaches to bilingualism. We present the Visual Analogue Scaling task which avoids the discrete and binary assumptions of categorical perception and can capture gradiency more precisely than other measures. Our goal is to provide bilingualism researchers new conceptual and empirical tools that can help examine speech categorization in different bilingual communities without the necessity of forcing their speech categorization into discrete units and without assuming a deficit model.

Does race impact speech perception? An account of accented speech in two different multilingual locales.

Upon hearing someone's speech, a listener can access information such as the speaker's age, gender identity, socioeconomic status, and their linguistic background. However, an open question is whether living in different locales modulates how listeners use these factors to assess speakers' speech. Here, an audio-visual test was used to measure whether listeners' accentedness judgments and intelligibility (i.e., speech perception) can be modulated depending on racial information in faces that they see. American, British, and Indian English were used as three different English varieties of speech. These speech samples were presented with either a white female face or a South Asian female face. Two experiments were completed in two locales: Gainesville, Florida (USA) and Montreal, Quebec (Canada). Overall, Montreal listeners were more accurate in their transcription of sentences (i.e., intelligibility) compared to Gainesville listeners. Moreover, Gainesville listeners' ability to transcribe the same spoken sentences decreased for all varieties when listening to speech paired with South Asian faces. However, seeing a white or a South Asian face did not impact speech intelligibility for the same spoken sentences for Montreal listeners. Finally, listeners' accentedness judgments increased for American English and Indian English when the visual information changed from a white face to a South Asian face in Gainesville, but not in Montreal. These findings suggest that visual cues for race impact speech perception to a greater degree in locales with greater ecological diversity.

Bridging people and perspectives: General and language-specific social network structure predict mentalizing across diverse sociolinguistic contexts.

Mentalizing, or reasoning about others' mental states, is a dynamic social cognitive process that aids in communication and navigating complex social interactions. We examined whether exposure to diverse perspectives, afforded by occupying influential social network positions, predicted bilingual adults' performances on a behavioral mentalizing rating task in regions of high and low linguistic diversity. We calculated the degree to which respondents' social network position generally bridged unconnected others (i.e., general betweenness) and specifically bridged language communities (i.e., language betweenness). General betweenness predicted mentalizing performance regardless of region, whereas language betweenness only predicted mentalizing in a high linguistic diversity region, where bilingualism is ubiquitous and mentalizing to resolve perspective differences on the basis of language may be an adaptive cognitive strategy. These results indicate that human cognition is sensitive to social context and adaptive to the sociolinguistic demands of the broader environment. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The FreqTag toolbox: A principled approach to analyzing electrophysiological time series in frequency tagging paradigms.

Steady-state visual evoked potential (ssVEP) frequency tagging is an increasingly used method in electrophysiological studies of visual attention and perception. Frequency tagging is suitable for studies examining a wide range of populations, including infants and children. Frequency tagging involves the presentation of different elements of a visual array at different temporal rates, thus using stimulus timing to "tag" the brain response to a given element by means of a unique time signature. Leveraging the strength of the ssVEP frequency tagging method to isolate brain responses to concurrently presented and spatially overlapping visual objects requires specific signal processing methods. Here, we introduce the FreqTag suite of functions, an open source MATLAB toolbox. The purpose of the FreqTag toolbox is three-fold. First, it will equip users with a set of transparent and reproducible analytical tools for the analysis of ssVEP data. Second, the toolbox is designed to illustrate fundamental features of frequency domain and time-frequency domain approaches. Finally, decision criteria for the application of different functions and analyses are described. To promote reproducibility, raw algorithms are provided in a modular fashion, without additional hidden functions or transformations. This approach is intended to facilitate a fundamental understanding of the transformations and algorithmic steps in FreqTag, and to allow users to visualize and test each step in the toolbox.

Bridging interpersonal and ecological dynamics of cognition through a systems framework of bilingualism.

Human cognition occurs within social contexts, and nowhere is this more evident than language behavior. Regularly using multiple languages is a globally ubiquitous individual experience that is shaped by social environmental forces, ranging from interpersonal interactions to ambient language exposure. Here, we develop a Systems Framework of Bilingualism, where embedded layers of individual, interpersonal, and ecological sociolinguistic factors jointly predict people's language behavior. Of note, we quantify interpersonal and ecological language dynamics through the novel applications of language-tagged social network analysis and geospatial demographic analysis among 106 English-French bilingual adults in Montréal, Canada. Consistent with a Systems view, we found that people's individual language behavior, on a global level (i.e., overall language use), was jointly predicted by the language characteristics of their interpersonal social networks and the ambient linguistic patterns of their residential neighborhood environments, whereas more granular aspects of language behavior (i.e., word-level proficiency) was mainly driven by local, interpersonal social networks. Together, this work offers a novel theoretical framework, bolstered by innovative analytic techniques to quantify complex social information and empower more holistic assessments of multifaceted human behaviors and cognition, like language. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Single-session label training alters neural competition between objects and faces.

The extent to which visuocortical processing is altered when observers learn to categorize novel visual stimuli via labeling is not well understood. The present investigation used steady state visual evoked potential (ssVEP) frequency tagging to test the hypothesis that learning to categorize novel objects via labeling prompts a competitive advantage over concurrently presented stimuli. In the learning (label-training) phase, participants (n = 24) categorized objects according to two different species labels and faces according to gender. A control group (n = 26) viewed the same stimuli without label learning. Before and after learning, faces and objects were superimposed and viewed concurrently while periodically turned on and off at unique temporal rates (5/s or 6/s). The spectral power of the ssVEP at each frequency was projected to an L2 (minimum) norm estimated source space, and competition between faces and objects was compared using permutation-controlled mass univariate t tests. Results showed that, only in the training group, learning to label novel objects led to a competitive advantage over faces across a network of occipito-temporal and fronto-parietal cortical regions. These changes were more pronounced in participants showing more improvement across the label learning phase. Together, the findings support the notion that learning to label novel object categories affects neural competition though recurrent neural interactions in regions commonly associated with visual perception and selective attention. (PsycInfo Database Record (c) 2021 APA, all rights reserved).