自动情绪调节：基于社会文化与神经科学的考量

情绪调节的以往研究大多聚焦于有意情绪调节,而日常生活中普遍存在的自动情绪调节却较少受到关注。与自动加工类似,自动情绪调节无需意识努力、注意分配及有意控制,使个体在阈下知觉中自动有效地调节情绪,根据发生在情绪反应产生之前或之后分为先行聚焦自动情绪调节和反应聚焦自动情绪调节,前者会产生相对适应良性后果,后者则会产生相对适应不良后果,来自神经科学的证据显示两者存在不同的神经基础,这与社会文化考量相一致。社会文化对塑造自动情绪调节起着重要作用,情绪调节的自动认知加工在不断重复的社会文化实践和规范中内化而成。     

A Bayesian framework for word segmentation: Exploring the effects of context

Since the experiments of Saffran et al. [Saffran, J., Aslin, R., & Newport, E. (1996). Statistical learning in 8-month-old infants. Science, 274, 1926-1928], there has been a great deal of interest in the question of how statistical regularities in the speech stream might be used by infants to begin to identify individual words. In this work, we use computational modeling to explore the effects of different assumptions the learner might make regarding the nature of words - in particular, how these assumptions affect the kinds of words that are segmented from a corpus of transcribed child-directed speech. We develop several models within a Bayesian ideal observer framework, and use them to examine the consequences of assuming either that words are independent units, or units that help to predict other units. We show through empirical and theoretical results that the assumption of independence causes the learner to undersegment the corpus, with many two- and three-word sequences (e.g. what’s that, do you, in the house) misidentified as individual words. In contrast, when the learner assumes that words are predictive, the resulting segmentation is far more accurate. These results indicate that taking context into account is important for a statistical word segmentation strategy to be successful, and raise the possibility that even young infants may be able to exploit more subtle statistical patterns than have usually been considered.     

The mechanism underlying inhibition of saccadic return

Human observers take longer to re-direct gaze to a previously fixated location. Although there has been some exploration of the characteristics of inhibition of saccadic return (ISR), the exact mechanisms by which ISR operates are currently unknown. In the framework of accumulation models of response times, in which evidence is integrated over time to a response threshold, ISR could reflect a reduction in the rate of accumulation for saccades to return locations or an increase in the effective criterion for response. In two experiments, participants generated sequences of three saccades, in response to a peripheral or a central cue. ISR occurred across these manipulations: saccade latency was consistently increased for movements to the immediately previously fixated location. Latency distributions from individual observers were fit with a Linear Ballistic Accumulator model. ISR was best accounted for as a change in the accumulation rate. We suggest this parameter represents the overall desirability of a particular course of action, the evidence for which may be derived from a variety of sensory and non-sensory sources.     

LOT,CTM, and the Elephant in the Room

According to the language of thought (LOT) approach and the related computational theory of mind (CTM), thinking is the processing of symbols in an inner mental language that is distinct from any public language. Herein, I explore a deep problem at the heart of the LOT/CTM program—it has yet to provide a plausible conception of a mental symbol.     

发展的认知神经科学--神经科学与认知发展研究的融合点

本文介绍了发展的神经科学自 2 0世纪 80年代以来在早期突触形成、关键期及丰富环境对脑发育的影响等领域的一些突出成就 ,阐述了从神经科学与认知发展共同研究的主题来考察两个学科的整合的意义 ,并对发展的认知神经科学研究的未来趋势作了展望。     

Neuropsychology in France

The main steps in the development of neuropsychology in France are briefly reviewed, from the early contribution of Paul Broca (1861) up until the early 1990s. The current epistemological and institutional crises is analyzed with respect to some general factors inherent to the domain (e.g., disputes between the proponents of the psychological and biological dimensions) and to particular factors related to the French situation (e.g., retirement of prominent neuropsychologists). As regards clinical practice and research activities, the future will probably show some fractionation of goals and techniques prior to new synthesis.Died suddenly in March 1991.     

Timing without a timer.

Inferred-process theories propose various internal timing mechanisms to provide discriminative stimuli for temporal control of behavior. Biobehaviorally informed computer simulations indicate that timing may emerge from the action of reinforcement on neural circuits without the need to postulate timers of any sort.     

The Humanizing Brain: A Clinician/Pastor Response

The Humanizing Brain is an effort by theological scholars to integrate neuroscience and theological constructs into a cohesive evolutionary and developmental scheme. The primary strength is a developing dialogue between neurodevelopmental theory and process theology. The book's widest appeal should be to theologians exploring religious and spiritual manifestations in the brain and neurosciences. The relatively simplistic science may limit significant usefulness to broad neuroscientific and medical communities, although neuroscientists and sophisticated lay readers with interests and back-grounds in theology may find The Humanizing Brain quite informative and interesting.     

Comparing Computational Power

It is common practice to compare the computational power ofdifferent models of computation. For example, the recursivefunctions are strictly more powerful than the primitive recursivefunctions, because the latter are a proper subset of the former(which includes Ackermann's function). Side-by-side with this"containment" method of measuring power, it is also standardto base comparisons on "simulation". For example, one says thatthe (untyped) lambda calculus is as powerful—computationallyspeaking—as the partial recursive functions, because thelambda calculus can simulate all partial recursive functionsby encoding the natural numbers as Church numerals. The problem is that unbridled use of these two distinct waysof comparing power allows one to show that some computationalmodels (sets of partial functions) are strictly stronger thanthemselves! We argue that a better definition is that modelA is strictly stronger than B if A can simulate B via some encoding,whereas B cannot simulate A under any encoding. We show thatwith this definition, too, the recursive functions are strictlystronger than the primitive recursive. We also prove that therecursive functions, partial recursive functions, and Turingmachines are "complete", in the sense that no injective encodingcan make them equivalent to any "hypercomputational" model.¹     

The dreaming mind-brain: a Jungian perspective

In this paper I discuss the nature and role of dream and the dreaming process in Jungian clinical practice in the light of neuroscience. Insights from contemporary neuroscience support rather than contest Jung's view that emotional truth, not censorship or disguise, underpins the dreaming process. I use clinical material to illustrate how work with dreams within the total interactive experience of the analytic dyad enables the development of the emotional scaffolding necessary for the development of 'mind'. Large scale evidence-based research reveals that dreaming is caused by brain activity during sleep that is both biochemically and regionally different from that of waking states. Recent imaging studies confirm that dreams are the mind's vehicle for the processing of emotional states of being, particularly the fear, anxiety, anger or elation that often figure prominently. Dream sleep is understood as also being the guardian of memory, playing a part in forgetting, encoding and affective organization of memory. In the clinical section of the paper I let a series of dreams speak for themselves, revealing the emotionally salient concerns of the dreamer, weaving past and present, transference and reality together in a way that demonstrates the healthy attempt of the brain-mind to come to terms with difficult emotional experience from the past. The dreams become dreamable as part of the meaning-making process of analysis.