Francisco Varela: A new idea of perception and life

Connections among Varela's theory of enactive cognition , his evolutionary theory of natural drift, and his concept of autopoiesis are made clear. Two questions are posed in relation to Varela's conception of perception, and the tension that exists in his thought between the formal level of organization and the Jonasian notion of the organism.     

Whose self is it anyway? Self-aspect control moderates the relation between self-complexity and well-being

Greater self-complexity refers to the extent that one’s self-concept is comprised of many and relatively differentiated self-aspects. Although some research has found that those greater in self-complexity fare better physically (e.g., fewer illnesses) and psychologically (e.g., less depression) when experiencing stress, other studies have reported another pattern of data (e.g., greater self-complexity predicts greater depression). In the current work, two studies found support for a moderating variable in this latter pattern, self-aspect control. Specifically, for those who perceived relatively little control over their self-aspects, being greater in self-complexity predicted worse physical and psychological outcomes. Study 2 tested alternative explanations and supported an interpretation that perceptions of control over one’s multiple selves, in particular, moderated the relation between self-complexity and well-being.     

A nonlinear dynamic artificial neural network model of memory

Nonlinearity and dynamics in psychology are found in various domains such as neuroscience, cognitive science, human development, etc. However, the models that have been proposed are mostly of a computational nature and ignore dynamics. In those models that do include dynamic properties, only fixed points are used to store and retrieve information, leaving many principles of nonlinear dynamic systems (NDS) aside; for instance, chaos is often perceived as a nuisance. This paper considers a nonlinear dynamic artificial neural network (NDANN) that implements NDS principles while also complying with general neuroscience constraints. After a theoretical presentation, simulation results will show that the model can exhibit multi-valued, fixed-point, region-constrained attractors and aperiodic (including chaotic) behaviors. Because the capabilities of NDANN include the modeling of spatiotemporal chaotic activities, it may be an efficient tool to help bridge the gap between biological memory neural models and behavioral memory models.     

Cognitive Therapy for Obsessive-Compulsive Disorder: a Case Example

Cognitive therapy for OCD is an empirically validated alternative to the more widely used and validated behavioral therapy for OCD. The cognitive approach is based on the premise that belief systems contribute importantly to the development and maintenance of all types of OCD. By identifying and challenging maladaptive thoughts, beliefs, and core beliefs, patients can improve significantly and maintain their gains over time. This approach is demonstrated in detail with the case of Caroline, a 51-year-old woman with contamination obsessions.     

Origins of adolescents' ideal self: an intergenerational perspective

The present longitudinal study traced the ideal self of 120 adolescents to the ideals that parents hold for themselves and for their children. Ideals were assessed using Q sorts for personality attributes and life goals. After permutation analysis was used to control for random similarity, moderate parent-child ideal-self similarity was evident. Three intermediate transmission steps accounted for this intergenerational similarity: (a) transfer of parents' ideal self to ideals for their children, (b) children's perception, and (c) acceptance of these parental ideals. The last 2 processes related to parenting practices, with parental warmth augmenting parent-child concordance and restrictiveness reducing it. Compared with boys' ideal self, that of girls was more similar to the ideals that parents hold for their children and for themselves. Analyses of patterns over time suggested a growth of ideal-self stability across adolescence.     

Effect of musical expertise on visuospatial abilities: evidence from reaction times and mental imagery

Recently, the relationship between music and nonmusical cognitive abilities has been highly debated. It has been documented that formal music training would improve verbal, mathematical or visuospatial performance in children. In the experiments described here, we tested if visual perception and imagery abilities were enhanced in adult musicians compared with nonmusicians. In our main experiment, we measured reaction times of subjects who had to detect on which side of a horizontal or a vertical line a target dot was flashed. In the "imagery" condition the reference line disappeared before the target dot was presented. In order to accomplish the task, subjects had to keep a mental image of the position of the line until the dot appeared. In the "perception" condition, the procedure and stimuli were the same except that the line remained on the screen until the dot was displayed. In both groups, reaction times were shorter for horizontal compared to vertical discrimination, but reaction times were significantly shorter in musicians in all conditions. Moreover, discrimination on the vertical dimension, especially in imaging condition, seemed to be greatly improved on the long term by musical expertise. Simple and choice visual reaction times indicate that this advantage could only be partly explained by better sensorimotor integration in adult musicians.     

The Yin and Yang of cell cycle progression and differentiation in the oligodendroglial lineage

In white matter disorders such as leukodystrophies (LD), periventricular leucomalacia (PVL), or multiple sclerosis (MS), the hypomyelination or the remyelination failure by oligodendrocyte progenitor cells involves errors in the sequence of events that normally occur during development when progenitors proliferate, migrate through the white matter, contact the axon, and differentiate into myelin-forming oligodendrocytes. Multiple mechanisms underlie the eventual progressive deterioration that typifies the natural history of developmental demyelination in LD and PVL and of adult-onset demyelination in MS. Over the past few years, pathophysiological studies have mostly focused on seeking abnormalities that impede oligodendroglial maturation at the level of migration, myelination, and survival. In contrast, there has been a strikingly lower interest for early proliferative and differentiation events that are likely to be equally critical for white matter development and myelin repair. This review highlights the Yin and Yang principles of interactions between intrinsic factors that coordinately regulate progenitor cell division and the onset of differentiation, i.e. the initial steps of oligodendrocyte lineage progression that are obviously crucial in health and diseases.     

The multiple neural networks of familiarity: A meta-analysis of functional imaging studies

Recent research has demonstrated the critical role of the feeling of familiarity in recognition memory. Various neuroimaging paradigms have been developed to identify the brain regions that sustain the processing of familiarity; however, there is still considerable controversy about the functional significance of each brain region implicated in familiarity-based retrieval. Here, we focused on the differences between paradigms that assess familiarity, with or without the encoding phase. We used the activation likelihood estimation (ALE) algorithm to conduct a whole-brain meta-analysis of neuroimaging studies that involved a familiarity task. Sixty-nine studies, performed in healthy subjects to determine the specific functions of the identified regions in familiarity processing, were finally selected. Distinct subanalyses were performed according to the experimental procedures used in the original studies. The ALE clusters that were highlighted revealed common activations for paradigms with and without encoding in the prefrontal cortex and in the parietal cortex. Additionally, supplementary activations related to specific familiarity (i.e., without the encoding phase) were observed in the limbic system (i.e., the amygdala, hippocampus, cingulate cortex, and insula) and in the associative sensory areas. The differences in the reported findings for different procedures are possibly due to differences in the concept of familiarity. To aid the exploration of the neural correlates of familiarity in future studies, the strengths and weaknesses of these experimental procedures are critically discussed.     

Facelikeness matters: A parametric multipart object set to understand the role of spatial configuration in visual recognition

There is a view that faces and objects are processed by different brain mechanisms. Different factors may modulate the extent to which face mechanisms are used for objects. To distinguish these factors, we present a new parametric multipart three-dimensional object set that provides researchers with a rich degree of control of important features for visual recognition such as individual parts and the spatial configuration of those parts. All other properties being equal, we demonstrate that perceived facelikeness in terms of spatial configuration facilitated performance at matching individual exemplars of the new object set across viewpoint changes (Experiment 1). Importantly, facelikeness did not affect perceptual discriminability (Experiment 2) or similarity (Experiment 3). Our findings suggest that perceptual resemblance to faces based on spatial configuration of parts is important for visual recognition even after equating physical and perceptual similarity. Furthermore, the large parametrically controlled object set and the standardized procedures to generate additional exemplars will provide the research community with invaluable tools to further understand visual recognition and visual learning.