Deep neural networks (DNNs) have had extraordinary successes in classifying photographic images of objects and are often described as the best models of biological vision. This conclusion is largely based on three sets of findings: (1) DNNs are more accurate than any other model in classifying images taken from various datasets, (2) DNNs do the best job in predicting the pattern of human errors in classifying objects taken from various behavioral datasets, and (3) DNNs do the best job in predicting brain signals in response to images taken from various brain datasets (e.g., single cell responses or fMRI data). However, these behavioral and brain datasets do not test hypotheses regarding what features are contributing to good predictions and we show that the predictions may be mediated by DNNs that share little overlap with biological vision. More problematically, we show that DNNs account for almost no results from psychological research. This contradicts the common claim that DNNs are good, let alone the best, models of human object recognition. We argue that theorists interested in developing biologically plausible models of human vision need to direct their attention to explaining psychological findings. More generally, theorists need to build models that explain the results of experiments that manipulate independent variables designed to test hypotheses rather than compete on making the best predictions. We conclude by briefly summarizing various promising modeling approaches that focus on psychological data.

The pervasive monolingual bias present within many societies threatens the well-being of bilingual children and their families. Unfortunately, such bias is present in much psycholinguistic research as well. Bilingual–monolingual comparisons with methodological approaches upholding monolingual norms are not equitable to bilinguals. We do not need such comparisons to learn more about bilingual use and processing. Instead, psycholinguistic research investigating the impact of different kinds of environments for language learning, use, and processing within bilingual populations can be transformative. Applied psycholinguistic research with an increased focus on investigating all the languages bilingual children and their families need for day-to-day communication, and on the factors supporting their learning and use, can help inform educators, policy makers, and language and speech professionals. This will hopefully contribute to the well-being of the people we study.

This 17-year prospective study applied a social-development lens to the challenge of identifying long-term predictors of adult depressive symptoms. A diverse community sample of 171 individuals was repeatedly assessed from age 13 to age 30 using self-, parent-, and peer-report methods. As hypothesized, competence in establishing close friendships beginning in adolescence had a substantial long-term predictive relation to adult depressive symptoms at ages 27–30, even after accounting for prior depressive, anxiety, and externalizing symptoms. Intervening relationship difficulties at ages 23–26 were identified as part of pathways to depressive symptoms in the late twenties. Somewhat distinct paths by gender were also identified, but in all cases were consistent with an overall role of relationship difficulties in predicting long-term depressive symptoms. Implications both for early identification of risk as well as for potential preventive interventions are discussed.

Bringing together lines of research from sentence processing and lexical access, this empirical study investigates the interplay between lexical (grammatical gender) and syntactic (word order) cross-linguistic overlap in L2 German. Eighty-six L1 Spanish-L2 German and thirty-six monolingual German adults completed a German self-paced reading task with noun phrases (NPs) manipulated by L1-L2 gender congruency (congruent, incongruent, neuter) and L1-L2 adjective-noun word order (pre- vs. postnominal adjectives). The study examines the effects of gender congruency, the type of L1-L2 gender mapping (i.e., presence vs. absence of each class in L1 and L2), and L2 proficiency level. Results show that the detection of ungrammatical word order in L2 German interacts with gender congruency, in that L2 speakers are only sensitive to word order violations for sentences with gender-congruent nouns. The detection of ungrammaticality for sentences containing gender-incongruent nouns only emerges at higher L2 proficiency levels. These findings underscore the role of cross-linguistic lexical overlap in syntactic processing.

Studies have shown that cognitive behavioural therapy (CBT) for older people with cognitive decline and depression/anxiety improves negative moods. However, CBT research focusing on this population in Japan is limited. This study aimed to evaluate the feasibility of a cognitive behavioural program for people with cognitive decline. Sixteen Japanese patients with mild dementia (n = 3) and mild cognitive impairment (MCI, n = 13) participated in the study. A single-arm, pre–post study was implemented in two hospitals in Japan. The CBT program included eight bi-weekly sessions. The feasibility outcomes (satisfaction, understanding and usefulness) were measured immediately after completing the sessions, and depression, anxiety, quality of life (QOL), neuropsychiatric symptoms, and caregiver burden were measured at three time points (i.e. before, immediately after, and 3-month follow-up). Ten MCI participants attended all sessions and the mean patient satisfaction scores using the Client Satisfaction Questionnaire were 31.0±10.05 out of 32. Linear mixed model analyses demonstrated that the time effect was significant for depression (d = 1.62), anxiety (d = 1.39), and QOL (d = 1.00) for the patients, and significant for anxiety (d = 1.08) for their caregivers. The study found that this CBT program is feasible and acceptable for older Japanese people with cognitive decline. The program also improved patients’ QOL, anxiety and depressive symptoms, and decreased caregivers’ anxiety.

Effective communication in multilingual environments requires bilinguals to constantly monitor linguistic cues. It is hypothesized that the constant need to monitor may result in improved attention. However, previous investigations have reported mixed, often null results, with positive findings attributed to non-linguistic variables. To address these issues, we investigated whether higher levels of bilingualism were associated with improved attentional function in a sample of culturally and socioeconomically homogenous Mandarin–English speaking bilingual adolescents. Participants completed the Attention Network Task to assess attentional network function. Data were analyzed using linear mixed-effects models in order to account for nontrivial differences. Mixed results provide partial support for domain general cognitive benefits associated with higher levels of bilingualism. Both improved and reduced performance differed based on the specific dimension of bilingualism and the attentional network assessed. Findings support the conclusion that separable dimensions of bilingual language experience assert different influences on attentional network function.