On the nature and standing of psychoanalytic psychotherapy

In this paper, I offer some reflections on the standing of psychoanalytic psychotherapy in the National Health Service (NHS), with special reference to contemporary forms of evidence-based thinking. I consider what may follow when a narrow view of science or psychotherapeutic practice becomes conventional wisdom and assumes dominance. I place stress on the potential loss to NHS psychology and psychiatry if psychoanalytic psychotherapy becomes increasingly marginalized on the one hand, or overly standardized on the other.     

The neural correlates of statistical learning in a word segmentation task: An fMRI study

Functional magnetic resonance imaging (fMRI) was used to assess neural activation as participants learned to segment continuous streams of speech containing syllable sequences varying in their transitional probabilities. Speech streams were presented in four runs, each followed by a behavioral test to measure the extent of learning over time. Behavioral performance indicated that participants could discriminate statistically coherent sequences (words) from less coherent sequences (partwords). Individual rates of learning, defined as the difference in ratings for words and partwords, were used as predictors of neural activation to ask which brain areas showed activity associated with these measures. Results showed significant activity in the pars opercularis and pars triangularis regions of the left inferior frontal gyrus (LIFG). The relationship between these findings and prior work on the neural basis of statistical learning is discussed, and parallels to the frontal/subcortical network involved in other forms of implicit sequence learning are considered.     

Competitive Processes in Cross‐Situational Word Learning

Cross‐situational word learning, like any statistical learning problem, involves tracking the regularities in the environment. However, the information that learners pick up from these regularities is dependent on their learning mechanism. This article investigates the role of one type of mechanism in statistical word learning: competition. Competitive mechanisms would allow learners to find the signal in noisy input and would help to explain the speed with which learners succeed in statistical learning tasks. Because cross‐situational word learning provides information at multiple scales—both within and across trials/situations—learners could implement competition at either or both of these scales. A series of four experiments demonstrate that cross‐situational learning involves competition at both levels of scale, and that these mechanisms interact to support rapid learning. The impact of both of these mechanisms is considered from the perspective of a process‐level understanding of cross‐situational learning.     

Book Review

Repetition priming is one of the most robust phenomena in cognitive psychology, but participants vary substantially on the amount of priming that they produce. The current experiments assessed the reliability of repetition priming within individuals. The results suggest that observed differences in the size of the repetition priming effect across participants are largely reliable and result primarily from systematic processes. We conclude that the unreliability of semantic priming observed by Stolz, Besner, and Carr (2005) is specific to uncoordinated processes in semantic memory, and that this unreliability does not generalize to other processes in visual word recognition. We consider the implications of these results for theories of automatic and controlled processes that contribute to priming. Finally, we emphasize the importance of reliability for researchers who use similar paradigms to study individual and group differences in cognition.     

Dissociation of sensory facilitation and decision bias in statistical learning

ABSTRACT

The detection of regularities in the sensory environment, known as statistical learning, is an important brain function that has been observed in many experimental contexts. In these experiments, statistical learning of patterned sensory stimulation leads to improvements in the speed and/or accuracy with which subsequent stimuli are recognized. That is, statistical learning facilitates the transformation of sensory stimuli into motor responses, but the mechanism by which this occurs is unclear. Statistical learning could improve the efficiency of sensory processing, or it could bias responses toward particular outcomes. The distinction is important, as these different hypotheses imply different functions and different neural substrates for statistical learning. Here we address this problem by studying statistical learning as a decision-making process, which allows us to leverage the extensive computational literature on this topic. Specifically we describe a method for applying the Diffusion Decision Model (DDM) to isolate different sensory and cognitive processes associated with decision-making. The results indicate that statistical learning improves performance on a visual learning task in two distinct ways: by altering the efficiency of sensory processing and by introducing biases in the decision-making process. By fitting the parameters of the DDM to data from individual subjects, we find that the prominence of these two factors differed substantially across the population, and that these differences were predictive of individual performance on the psychophysical task. Overall, these results indicate that different cognitive processes can be recruited by statistical learning, and that the DDM is a powerful framework for detecting these influences.     

Towards a new method for bridging the gap between “smart” infants and “dumb” preschoolers

Based on violation-of-expectation (VoE) paradigms, amazing cognitive competencies have been demonstrated in young infants, which could not be shown in toddlers or even preschoolers. This divergence might as much be caused by different research methods as by discontinuities in development. As looking-time measures are not readily applicable to older children, we suggest a new method that is suitable for children from two years of age onwards. In an empirical examination of this method, 26 children aged 2–7 years learned by trial and error to always find a target picture among a pair of pictures. Each target picture was an impossible version of the non-target picture. After reaching a learning criterion, children had to generalize the learned concept to pictures belonging to a different category. Results showed that even the youngest participants reached the learning criterion and were able to apply what they had learned to another category.     

Clara and William Stern's conception of a developmental science

Clara and William Stern were two pioneers of developmental psychology who are now almost forgotten, although their works have miraculously survived war and exile. The Sterns' theoretical conception of development and their extensive empirical work were inspired by the new discipline of child psychology which had been established in the nineteenth century. In this contribution we present the Sterns' academic work in developmental psychology with the aim of setting a counterbalance to the present mainstream in this discipline. We wish to show that it is certainly worthwhile to take a look back into history, and that “old” does not necessarily mean “obsolete”.     

Happiness,inspiration and the fully functioning person: Separating hedonic and eudaimonic well-being in the workplace

The study investigates the idea that feeling good and functioning well-being are regulated by two different mechanisms: hedonic and eudaimonic. At the state level it is assumed that happiness is a hedonic feeling typically experienced when life is easy or a goal is reached. Inspiration is a eudaimonic feeling typically experienced when facing challenges in the process of goal attainment. At the trait level, we assume that personal growth is connected with eudaimonic rather than hedonic mechanisms. These assumptions were confirmed with data from 465 employees of the Occupational Health Services in Norway using day reconstruction method. Multilevel analyses showed that complex work situations increased inspiration and decreased happiness. Personal growth had a stronger effect on inspiration than on happiness. Our results support the idea that pleasant feelings (hedonia) and optimal functioning (eudaimonia) have different roles to play in the regulation of behavior, and therefore need to be distinguished from one another.