A mental number line in human newborns

Humans represent numbers on a mental number line with smaller numbers on the left and larger numbers on the right side. A left‐to‐right oriented spatial–numerical association, (SNA), has been demonstrated in animals and infants. However, the possibility that SNA is learnt by early exposure to caregivers’ directional biases is still open. We conducted two experiments: in Experiment 1, we tested whether SNA is present at birth and in Experiment 2, we studied whether it depends on the relative rather than the absolute magnitude of numerousness. Fifty‐five‐hour‐old newborns, once habituated to a number (12), spontaneously associated a smaller number (4) with the left and a larger number (36) with the right side (Experiment 1). SNA in neonates is not absolute but relative. The same number (12) was associated with the left side rather than the right side whenever the previously experienced number was larger (36) rather than smaller (4) (Experiment 2). Control on continuous physical variables showed that the effect is specific of discrete magnitudes. These results constitute strong evidence that in our species SNA originates from pre‐linguistic and biological precursors in the brain.     

特殊的视错觉：运动诱导视盲

突显的静止目标被一定空间范围内运动背景所覆盖时, 人类会感受到静止目标消失再重现的发生, 这种视错觉现象叫做运动诱导视盲(motion-induced blindness, MIB)。该现象成因的理论解释主要有：注意竞争理论、知觉完型加工理论以及神经生理机制相关理论。作为特殊的视错觉现象, 该现象与其他盲视现象不同,主要是由客体识别过程中的知觉变化引起; 另一方面, 运动诱导视盲中“反知觉”现象的特殊性也是研究者关注的问题之一。神经生理机制层面的研究关注早期、晚期皮层在该现象发生时的变化, 采用眼动、脑电等技术对错觉现象发生时程进行测量与评估。文章在总结已有相关研究的基础上进一步指出今后可深入探索的研究方向有：MIB发生的深层机制、作为研究意识神经相关、无意识知觉加工等课题的工具、MIB中的意义性加工与认知冲突等。     

Geometric representation of association between categories

Categories can be counted, rated, or ranked, but they cannot be measured. Likewise, persons or individuals can be counted, rated, or ranked, but they cannot be measured either. Nevertheless, psychology has realized early on that it can take an indirect road to measurement: What can be measured is the strength of association between categories in samples or populations, and what can be quantitatively compared are counts, ratings, or rankings made under different circumstances, or originating from different persons. The strong demand for quantitative analysis of categorical data has thus created a variety of statistical methods, with substantial contributions from psychometrics and sociometrics. What is the common basis of these methods dealing with categories? The basic element they share is that the sample space has a special geometry, in which categories (or persons) are point masses forming a simplex, while distributions of counts or profiles of ratings are centers of gravity, which are also point masses. Rankings form a discrete subset in the interior of the simplex, known as the permutation polytope, and paired comparisons form another subset on the edges of the simplex. Distances between point masses form the basic tool of analysis. The paper gives some history of major concepts, which naturally leads to a new concept: the shadow point. It is then shown how loglinear models, Luce and Rasch models, unfolding models, correspondence analysis and homogeneity analysis, forced classification and classification trees, as well as other models and methods, fit into this particular geometrical framework.     

Framing deductive reasoning with emotional content: An fMRI study

In the literature concerning the study of emotional effect on cognition, several researches highlight the mechanisms of reasoning ability and the influence of emotions on this ability. However, up to now, no neuroimaging study was specifically devised to directly compare the influence on reasoning performance of visual task-unrelated with semantic task-related emotional information.In the present functional fMRI study, we devised a novel paradigm in which emotionally negative vs. neutral visual stimuli (context) were used as primes, followed by syllogisms composed of propositions with emotionally negative vs. neutral contents respectively. Participants, in the MR scanner, were asked to assess the logical validity of the syllogisms. We have therefore manipulated the emotional state and arousal induced by the visual prime as well as the emotional interference exerted by the syllogism content.fMRI data indicated a medial prefrontal cortex deactivation and lateral/dorsolateral prefrontal cortex activation in conditions with negative context. Furthermore, a lateral/dorsolateral prefrontal cortex modulation caused by syllogism content was observed. Finally, behavioral data confirmed the influence of emotional task-related stimuli on reasoning ability, since the performance was worse in conditions with syllogisms involving negative emotions. Therefore, on the basis of these data, we conclude that emotional states can impair the performance in reasoning tasks by means of the delayed general reactivity, whereas the emotional content of the target may require a larger amount of top-down resources to be processed.     

Timing matters! The neural signature of intuitive judgments differs according to the way information is presented

One can conceive of intuition as the preliminary perception of coherence. Since this requires holistic perception, it is hypothesized that underlying processing strategies are dependent on the possibility to obtain all relevant information at once. The present study used magnetoencephalography (MEG) to investigate neural mechanisms underlying intuitive coherence perception when semantic concepts are presented all together (simultaneously) or one after the other (sequentially). With simultaneous presentation, absolute activation increases in the left OFC when participants recognize coherence. With sequential presentation activation increases in the right OFC when participants conclude that there is no common associate between the words presented. Behavioral performance was similar in the two experiments. These results demonstrate that the way information is revealed over time changes the processing of intuitive coherence perception. We propose that such changes must be taken into account to disentangle the neural and behavioral mechanisms underlying different accounts of intuition and related phenomena.     

The temporally-integrated causality landscape: A theoretical framework for consciousness and meaning

Theoretical approaches to understanding consciousness have begun to converge upon areas of general agreement, yet substantive differences remain. Here, I introduce a new theoretical framework for the emergence of consciousness from the functional integration of the thalamocortical system: the Temporally-Integrated Causality Landscape (TICL). TICL presents a novel perspective which addresses important phenomenological characteristics of consciousness that other frameworks, such as IIT, do not. First, the TICL is based upon the observation that conscious experiences are temporally continuous, not discrete. Secondly, the TICL establishes a thalamocortical basis for the point-of-view. According to TICL, consciousness is composed of contents that arise from neuronal subsystems that have meaning from the point-of-view of the larger, integrated system in which they are nested. Meaningful contents emerge from the subsystems because they exhibit a level of temporally-integrated causality (TIC) that is distinguishable from that of the larger system.