A Computational Model of the Self‐Teaching Hypothesis Based on the Dual‐Route Cascaded Model of Reading

The self‐teaching hypothesis describes how children progress toward skilled sight‐word reading. It proposes that children do this via phonological recoding with assistance from contextual cues, to identify the target pronunciation for a novel letter string, and in so doing create an opportunity to self‐teach new orthographic knowledge. We present a new computational implementation of self‐teaching within the dual‐route cascaded (DRC) model of reading aloud, and we explore how decoding and contextual cues can work together to enable accurate self‐teaching under a variety of circumstances. The new model (ST‐DRC) uses DRC’s sublexical route and the interactivity between the lexical and sublexical routes to simulate phonological recoding. Known spoken words are activated in response to novel printed words, triggering an opportunity for orthographic learning, which is the basis for skilled sight‐word reading. ST‐DRC also includes new computational mechanisms for simulating how contextual information aids word identification, and it demonstrates how partial decoding and ambiguous context interact to achieve irregular‐word learning. Beyond modeling orthographic learning and self‐teaching, ST‐DRC’s performance suggests new avenues for empirical research on how difficult word classes such as homographs and potentiophones are learned.     

EMPIRICAL MINDFULNESS: TRADITIONAL CHINESE MEDICINE AND MENTAL HEALTH IN THE SCIENCE AND RELIGION DIALOGUE

As science and religion researchers begin to engage questions of mental health, mindfulness may prove to be a fruitful area of investigation. However, quantifying the physical effects of mindfulness on the brain is difficult because mindfulness deals with the problem of mental and physical interaction or, the mind/body problem. One system of understanding which may aid science and religion scholars in the pursuit of mindfulness is traditional Chinese medicine (TCM). Within TCM, heart Qi manages the body's present connection to time and space. If the “being in the moment” is disrupted, then the heart Qi is blocked and mental illness or various neurological disorders occur. Succinctly, within TCM, mindfulness is understood as a nonphysical phenomenon (Qi) which directly affects physical systems, resulting in empirical data. This is tracked and treated through the TCM understanding of Qi. The TCM view of Qi in mental health may therefore provide a helpful new paradigm to investigations concerning mindfulness and the human brain.     

Learning General Phonological Rules From Distributional Information: A Computational Model

Phonological rules create alternations in the phonetic realizations of related words. These rules must be learned by infants in order to identify the phonological inventory, the morphological structure, and the lexicon of a language. Recent work proposes a computational model for the learning of one kind of phonological alternation, allophony (Peperkamp, Le Calvez, Nadal, & Dupoux, 2006). This paper extends the model to account for learning of a broader set of phonological alternations and the formalization of these alternations as general rules. In Experiment 1, we apply the original model to new data in Dutch and demonstrate its limitations in learning nonallophonic rules. In Experiment 2, we extend the model to allow it to learn general rules for alternations that apply to a class of segments. In Experiment 3, the model is further extended to allow for generalization by context; we argue that this generalization must be constrained by linguistic principles.     

Dev E-R: A computational model of early cognitive development as a creative process

This paper describes a computational model named Dev E-R (Developmental Engagement-Reflection) that, inspired by Piaget’s theory, simulates the assimilation-accommodation adaptation process. It is implemented with a new extended version of the computational model of creativity known as Engagement-Reflection. That is, this model simulates adaptation as a creative activity. We introduce here the implementation of our model on an agent that is initialized with basic reflex conducts and that through the interaction with a 3D virtual world, it is able to build new behaviors autonomously. The new acquired skills, according to Piaget’s theory, are typically observed in children that have reached the second substage of the sensorimotor period.     

Identifying expectations about the strength of causal relationships

When we try to identify causal relationships, how strong do we expect that relationship to be? Bayesian models of causal induction rely on assumptions regarding people’s a priori beliefs about causal systems, with recent research focusing on people’s expectations about the strength of causes. These expectations are expressed in terms of prior probability distributions. While proposals about the form of such prior distributions have been made previously, many different distributions are possible, making it difficult to test such proposals exhaustively. In Experiment 1 we used iterated learning—a method in which participants make inferences about data generated based on their own responses in previous trials—to estimate participants’ prior beliefs about the strengths of causes. This method produced estimated prior distributions that were quite different from those previously proposed in the literature. Experiment 2 collected a large set of human judgments on the strength of causal relationships to be used as a benchmark for evaluating different models, using stimuli that cover a wider and more systematic set of contingencies than previous research. Using these judgments, we evaluated the predictions of various Bayesian models. The Bayesian model with priors estimated via iterated learning compared favorably against the others. Experiment 3 estimated participants’ prior beliefs concerning different causal systems, revealing key similarities in their expectations across diverse scenarios.     

Temporality and the torments of time

Immersion in time gives birth to consciousness, as well as conflict and torment. When human beings developed a sense of future, they also gained the ability to anticipate threats from nature or their fellow beings. They thereby created cultures that are bastions of survival, as well as places of poetry, art and religion where they could band together and reflect upon their common plight. The practice of psychoanalysis is in many ways a temporal process, a process of remembering, for owning and elaborating a past that gives us substance, thereby providing a basis for reflective consciousness. Stimulated by Freud's early writings, Lacan, Laplanche and their successors in particular have focussed extensively on time and psychoanalysis, and their views are a central point of this discussion. A substantial case study is offered that provides concrete examples of these perspectives. A multi‐faceted view of temporality emerges, one that is more syncopated than linear or teleological. In conclusion, I will briefly discuss recent findings in the neuroscience of memory and ‘time travel’ that underpin contemporary psychoanalytic ideas in surprising ways. It is important to remember that acceptance of the contradictory nature of temporal experience can open space for increased freedom and playfulness.     

Further evidence for the case against neuropsychoanalysis: How Yovell,Solms, and Fotopoulou's response to our critique confirms the irrelevance and harmfulness to psychoanalysis of the contemporary neuroscientific trend

In their paper “The case for neuropsychoanalysis” Yovell, Solms, and Fotopoulou (2015) respond to our critique of neuropsychoanalysis (Blass & Carmeli, 2007), setting forth evidence and arguments which, they claim, demonstrate why neuroscience is relevant and important for psychoanalysis and hence why dialogue between the fields is necessary. In the present paper we carefully examine their evidence and arguments and demonstrate how and why their claim is completely mistaken. In fact, Yovell, Solms, and Fotopoulou's paper only confirms our position on the irrelevance and harmfulness to psychoanalysis of the contemporary neuroscientific trend. We show how this trend perverts the essential nature of psychoanalysis and of how it is practiced. The clinical impact and its detrimental nature is highlighted by discussion of clinical material presented by Yovell et al (2015). In the light of this we argue that the debate over neuropsychoanalysis should be of interest to all psychoanalysts, not only those concerned with biology or interdisciplinary dialogue.     

Terminated Seed: Death,Proprietary Kinship and the Production of (Bio)Wealth

What is mental disorder and how can it be identified? These are complex and multifaceted questions, given the multiple ambiguities that centre on the psychopathological concepts employed within contemporary psychiatry and psychology. Yet, scientists investigating mental disorders must successfully resolve these uncertainties if research is to continue. For neuroscientists studying the contested conditions antisocial personality disorder and psychopathy, psychiatric and psychological classifications and concepts are used to substantiate one another. This co-produces epistemological and ontological un/certainties, without wholly resolving philosophical and methodological questions regarding what mental disorders are and how they can be recognised. Indeed, these ambiguities are rendered (relatively) unimportant. This kind of practical uncertainty work is thus an important aspect of the investigative process, performing an essential role in the continuation of scientific knowledge production, the legitimation of professional orientations, and the validation of psychopathological concepts.