Sensation seeking and injury risk in downhill skiing

A validated Dutch version of Zuckerman's sensation seeking (SS) scale was sent to a population of downhill skiers. It was expected that injured skiers (N = 219) would have higher thrill and adventure seeking (TAS) scores compared to a control group of uninjured skiers (N = 288). Information on other risk factors for ski injury, as measured in an earlier study among the same skiers, was included in a logistic model in order to adjust for confounding. Response (73%) was slightly higher among females, younger skiers and higher educated persons. Skiers have a high TAS score compared to a Dutch reference population. The observed correlations between SS subscales, as well as the trends associated with age and gender are in full agreement with the literature. Surprisingly, TAS scores were lower among the cases (35.0) compared to the control group (37.3) [P < 0.01]. Adjustment for other risk factors for ski injury in the logistic regression does not change the effect of the TAS score substantially. It is postulated that skiers with a high TAS score could be more experienced in balancing on the border of their individual capacities. More research into this problem, preferably with a prospective design, is recommended.     

Long-term sensitization training primes Aplysia for further learning

Repetitive, unilateral stimulation of Aplysia induces long-term sensitization (LTS) of ipsilaterally elicited siphon-withdrawal responses. Whereas some morphological effects of training appear only on ipsilateral sensory neurons, others appear bilaterally. We tested the possibility that contralateral morphological modifications may have functional significance. Therefore, we examined whether LTS training primes subsequent sensitization. Twenty-four hours after LTS training the effects of brief shock treatment (BST) were examined. BST failed to sensitize animals that had previously received either 4-d control treatment or 4-d ipsilateral LTS training. In contrast, BST did sensitize animals that had previously received 4-d contralateral LTS training, suggesting the presence of a latent trace that primes the animal for further learning.     

Object name learning provides on-the-job training for attention

By the age of 3, children easily learn to name new objects, extending new names for unfamiliar objects by similarity in shape. Two experiments tested the proposal that experience in learning object names tunes children's attention to the properties relevant for naming—in the present case, to the property of shape—and thus facilitates the learning of more object names. In Experiment 1, a 9-week longitudinal study, 17-month-old children who repeatedly played with and heard names for members of unfamiliar object categories well organized by shape formed the generalization that only objects with similar shapes have the same name. Trained children also showed a dramatic increase in acquisition of new object names outside of the laboratory during the course of the study. Experiment 2 replicated these findings and showed that they depended on children's learning both a coherent category structure and object names. Thus, children who learn specific names for specific things in categories with a common organizing property—in this case, shape—also learn to attend to just the right property—in this case, shape—for learning more object names.     

Group affective learning in training for psychotherapy and psychoanalysis

This paper describes The Group Affective Model, a method for teaching psychoanalytic concepts and their clinical application, using multi‐channel teaching, process and review in group settings, and learning from experience in an open systems learning community for psychoanalysts and psychotherapists. This innovation arose in response to criticism of existing methods in psychoanalytic education that have subordinated the primary educational task to that of the training analysis. Noticing this split between education and training analysis, between cognition and affect, and between concepts of individual and group unconscious processes, we developed the Group Affective Model for teaching and learning psychoanalysis and psychotherapy in an open psychological space in which students and faculty experience individual and group processes of digestion, assimilation, and review, which demonstrate the concepts in action and make them available for internalization selectively. We discuss our philosophy and our educational stance. We describe our institution and our participants. We give examples of teaching situations that we have studied to provide some insight about assimilation and internalization of the concepts and clinical approaches being taught. We discuss the transferability of the Group Affective Model to other teaching settings and psychoanalytic training institutions and propose it as the fourth pillar of psychoanalytic training, next to analytic treatment, clinical supervision, and didactic seminars.     

Spaced training enhances equine learning performance

Animal Cognition - This field experiment examined whether the well-documented benefit of spaced over massed training for humans and other animals generalizes to horses. Twenty-nine randomly...     

Configural learning without configural training.

Rats learned discriminations in which 2 familiar compound visual stimuli AB and CD were nonreinforced, whereas less-familiar compounds (EF, GH, IJ...) were reinforced (constant-negative paradigm). Such discriminations can in principle be acquired through elemental (nonconfigural) learning. Three different types of compound--object/object, object/position, and shape/fill-pattern--were used, and the number of familiar compounds extended to 3 or 4. In all cases, when rats were tested for the first time with previously unseen recombinations of the familiar elements--for example, AC, BD--they preferred these to the familiar compounds, implying that they had encoded configural information during the original training. Moreover, preference remained constant despite extended exposure to configural training in the test phase. The findings extend the evidence that configural representations are formed independently of explicit configural training.     

Proprioceptive perception of phase variability

Previous work has established that judgments of relative phase variability of 2 visually presented oscillators covary with mean relative phase. Ninety degrees is judged to be more variable than 0 degrees or 180 degrees, independently of the actual level of phase variability. Judged levels of variability also increase at 180 degrees. This pattern of judgments matches the pattern of movement coordination results. Here, participants judged the phase variability of their own finger movements, which they generated by actively tracking a manipulandum moving at 0 degrees, 90 degrees, or 180 degrees, and with 1 of 4 levels of Phase Variability. Judgments covaried as an inverted U-shaped function of mean relative phase. With an increase in frequency, 180 degrees was judged more variable whereas 0 degrees was not. Higher frequency also reduced discrimination of the levels of Phase Variability. This matching of the proprioceptive and visual results, and of both to movement results, supports the hypothesized role of online perception in the coupling of limb movements. Differences in the 2 cases are discussed as due primarily to the different sensitivities of the systems to the information.     

Visuomotor Adaptation and Proprioceptive Recalibration

ABSTRACT

Motor learning, in particular motor adaptation, is driven by information from multiple senses. For example, when arm control is faulty, vision, touch, and proprioception can all report on the arm's movements and help guide the adjustments necessary for correcting motor error. In recent years we have learned a lot about how the brain integrates information from multiple senses for the purpose of perception. However, less is known about how multisensory data guide motor learning. Most models of, and studies on, motor learning focus almost exclusively on the ensuing changes in motor performance without exploring the implications on sensory plasticity. Nor do they consider how discrepancies in sensory information (e.g., vision and proprioception) related to hand position may affect motor learning. Here, we discuss research from our lab and others that shows how motor learning paradigms affect proprioceptive estimates of hand position, and how even the mere discrepancy between visual and proprioceptive feedback can affect learning and plasticity. Our results suggest that sensorimotor learning mechanisms do not exclusively rely on motor plasticity and motor memory, and that sensory plasticity, in particular proprioceptive recalibration, plays a unique and important role in motor learning.     

Patterns of learning in family therapy training

This study presents the results of an evaluation of two cohorts of trainees who had completed a 2-year training program in family therapy. The 15 trainees were assessed in the areas of perceptual/conceptual, intervention/executive skills and personal development both pre- and post-training. Although the group results showed skill acquisition in all areas assessed, the individual results revealed a complexity in performance glossed over by the group analysis. Trainees' learning commenced from different baselines, advanced at different rates, and there was a marked discrepancy between self-reports of improvements (or otherwise) and the results of the observer-rated measures. We recommend that increasing attention be paid to individual differences in learning styles in training and in evaluation.     

Associative learning and imagery training in children

Two experiments are reported which examine imagery as a factor in children's learning to associate object pairs. The results of the first experiment indicated that presenting the objects in an interacting fashion greatly facilitated subsequent recognition performance. The outcome of Experiment II revealed that children can be trained to form their own interaction images. These findings are discussed in terms of their relevance to contemporary views of mediation in children's learning.     

Biofeedback training with a learning disabled child.

Biofeedback training was used to increase a learning disabled child's ability to control his breathing patterns. The procedure was most effective when the child was permitted to explore freely the correlations between his respiratory movements and feedback from the apparatus. Probe trials showed that increased external and self-directed control over the direction and volume of breathing was achieved. Results were discussed in terms of the relationship between biofeedback technology and learning and behavior problems.     

Mapping differential responses to cognitive training using machine learning

We used two simple unsupervised machine learning techniques to identify differential trajectories of change in children who undergo intensive working memory (WM) training. We used self‐organizing maps (SOMs)—a type of simple artificial neural network—to represent multivariate cognitive training data, and then tested whether the way tasks are represented changed as a result of training. The patterns of change we observed in the SOM weight matrices implied that the processes drawn upon to perform WM tasks changed following training. This was then combined with K‐means clustering to identify distinct groups of children who respond to the training in different ways. Firstly, the K‐means clustering was applied to an independent large sample (N = 616, M_age = 9.16 years, range = 5.16–17.91 years) to identify subgroups. We then allocated children who had been through cognitive training (N = 179, M_age = 9.00 years, range = 7.08–11.50 years) to these same four subgroups, both before and after their training. In doing so, we were able to map their improvement trajectories. Scores on a separate measure of fluid intelligence were predictive of a child's improvement trajectory. This paper provides an alternative approach to analysing cognitive training data that go beyond considering changes in individual tasks. This proof‐of‐principle demonstrates a potentially powerful way of distinguishing task‐specific from domain‐general changes following training and of establishing different profiles of response to training.