Multiple Systems in Decision Making: A Neurocomputational Perspective

ABSTRACT— Various psychological models posit the existence of two systems that contribute to decision making. The first system is bottom-up, automatic, intuitive, emotional, and implicit, while the second system is top-down, controlled, deliberative, and explicit. It has become increasingly evident that this dichotomy is both too simplistic and too vague. Here we consider insights gained from a different approach, one that considers the multiple computational demands of the decision-making system in the context of neural mechanisms specialized to accomplish some of that system's more basic functions. The use of explicit computational models has led to (a) identification of core trade-offs imposed by a single-system solution to cognitive problems that are solved by having multiple neural systems, and (b) novel predictions that can be tested empirically and that serve to further refine the models.     

Rapid learning in attention shifts: A review

Many lines of evidence show that the human visual system does not simply passively register whatever appears in the visual field. The visual system seems to preferentially “choose” stimuli according to what is most relevant for the task at hand, a process called attentional selection. Given the large amount of information in any given visual scene, and well-documented capacity limitations for the representation of visual stimuli, such a strategy seems only reasonable. Consistent with this, human observers are surprisingly insensitive to large changes in their visual environment when they attend to something else in the visual scene. Here I argue that attentional selection of pertinent information is heavily influenced by the stimuli most recently viewed that were important for behaviour. I will describe recent evidence for the existence of a powerful memory system, not under any form of voluntary control, which aids observers in orienting quickly and effectively to behaviourally relevant stimuli in the visual environment, in particular the stimuli that have been important in the immediate past. I will also discuss research into the potential neural mechanisms involved in these learning effects. Finally, I will discuss how these putative memory mechanisms may help in maintaining the apparent stability and continuity of the ever-changing visual environment, which is such a crucial component of our everyday visual experience.     

Nonverbal learning disabilities: A critical review

This article presents a critical review of the term and concept of nonverbal learning disability (NLD). After a brief historical introduction, the article focuses on the apparent rarity of NLD; the hypothesis of the frequent co-occurrence of emotional disorder, depression, and suicide in NLD; the white matter hypothesis as an explanation of the origin of NLD; and the question of NLD as part of a variety of other disorders. It is argued that NLD presents a broad hypothesis, but that there is little evidence to support its use in clinical practice.     

Schedule-induced aggression in humans and animals: A comparative parametric review

Studies of animal and human aggression induced by schedules of reinforcement are reviewed. Parameters reviewed include: schedules, characteristics of induced aggression, subject variables, target variables, and the control or modification of schedule-induced aggression. With the exception of temporal locus of schedule-induced attack, the parameters identified with animal subjects are remarkably similar to those identified with human subjects.     

Associative sequence learning in humans

In a series of experiments using the serial reaction time paradigm, the authors compared the predictions of a powerful associative model of sequence learning (the simple recurrent network; J. L. Elman, 1990) with human performance on the problem devised by A. Maskara and W. Noetzel (1993). Even though the predictions made by the simple recurrent network for variants of this problem are often counterintuitive, they matched human performance closely, suggesting that performance was associatively based rather than rule based. Simple associative chaining models of sequence learning, however, have difficulty in accommodating these results. The authors' conclusion is that, under the conditions of the experiments, human sequence learning is associatively driven, as long as this is understood to mean that a sufficiently powerful means of extracting the statistical regularities in the sequences is in play.     

Vocal learning in birds and humans

Vocal learning is the modification of vocal output by reference to auditory information. It allows for the imitation and improvisation of sounds that otherwise would not occur. The emergence of this skill may have been a primary step in the evolution of human language, but vocal learning is not unique to humans. It also occurs in songbirds, where its biology can be studied with greater ease. What follows is a review of some of the salient anatomical, developmental, and behavioral features of vocal learning, alongside parallels and differences between vocal learning in songbirds and humans.     

From task characteristics to learning: A systematic review

Wielenga‐Meijer, E. G. A., Taris, T. W., Kompier, M. A. J. & Wigboldus, D. H. J. (2010). From task characteristics to learning: A systematic review. Scandinavian Journal of Psychology, 51, 363–375. Although many theoretical approaches propose that job characteristics affect employee learning, the question is why and how job characteristics influence learning. The present study reviews the evidence on the relationships among learning antecedents (i.e., job characteristics: demands, variety, autonomy and feedback), learning processes (including motivational, meta‐cognitive, cognitive and behavioral processes) and learning consequences. Building on an integrative heuristic model, we quantitatively reviewed 85 studies published between 1969 and 2005. Our analyses revealed strong evidence for a positive relation between job demands and autonomy on the one hand and motivational and meta‐cognitive learning processes on the other. Furthermore, these learning processes were positively related to learning consequences.     

Multimodal discrimination learning in humans: Evidence for configural theory

Human contingency learning was used to compare the predictions of configural and elemental theories. In three experiments, participants were required to learn which indicators were associated with an increase in core temperature of a fictitious nuclear plant. Experiments 1 and 2 investigated the rate at which a triple-element stimulus (ABC) could be discriminated from either single-element stimuli (A, B, and C) or double-element stimuli (AB, BC, and AC). Experiment 1 used visual stimuli, whilst Experiment 2 used visual, auditory, and tactile stimuli. In both experiments the participants took longer to discriminate the triple-element stimulus from the more similar double-element stimuli than from the less similar single-element stimuli. Experiment 3 tested for summation with stimuli from either a single or multiple modalities, and summation was found only in the latter case. Thus, the pattern of results seen in Experiments 1 and 2 was not dependent on whether the stimuli were single modal or multimodal, nor was it dependent on whether the stimuli could elicit summation. This pattern of results is consistent with predictions derived from Pearce's (1987, 1994) configural theory.     

Multimodal discrimination learning in humans: evidence for configural theory

Human contingency learning was used to compare the predictions of configural and elemental theories. In three experiments, participants were required to learn which indicators were associated with an increase in core temperature of a fictitious nuclear plant. Experiments 1 and 2 investigated the rate at which a triple-element stimulus (ABC) could be discriminated from either single-element stimuli (A, B, and C) or double-element stimuli (AB, BC, and AC). Experiment 1 used visual stimuli, whilst Experiment 2 used visual, auditory, and tactile stimuli. In both experiments the participants took longer to discriminate the triple-element stimulus from the more similar double-element stimuli than from the less similar single-element stimuli. Experiment 3 tested for summation with stimuli from either a single or multiple modalities, and summation was found only in the latter case. Thus, the pattern of results seen in Experiments 1 and 2 was not dependent on whether the stimuli were single modal or multimodal, nor was it dependent on whether the stimuli could elicit summation. This pattern of results is consistent with predictions derived from Pearce's (1987, 1994) configural theory.     

Chunking mechanisms in human learning

Pioneering work in the 1940s and 1950s suggested that the concept of 'chunking' might be important in many processes of perception, learning and cognition in humans and animals. We summarize here the major sources of evidence for chunking mechanisms, and consider how such mechanisms have been implemented in computational models of the learning process. We distinguish two forms of chunking: the first deliberate, under strategic control, and goal-oriented; the second automatic, continuous, and linked to perceptual processes. Recent work with discrimination-network computational models of long- and short-term memory (EPAM/CHREST) has produced a diverse range of applications of perceptual chunking. We focus on recent successes in verbal learning, expert memory, language acquisition and learning multiple representations, to illustrate the implementation and use of chunking mechanisms within contemporary models of human learning.     

Statistical language learning: mechanisms and constraints

What types of mechanisms underlie the acquisition of human language? Recent evidence suggests that learners, including infants, can use statistical properties of linguistic input to discover structure, including sound patterns, words, and the beginnings of grammar. These abilities appear to be both powerful and constrained, such that some statistical patterns are more readily detected and used than others. Implications for the structure of human languages are discussed.     

职场排斥的作用机制与本土化发展

职场排斥是组织情境中的负面行为,会对员工的心理状态、工作态度和工作行为,以及组织绩效造成严重的影响,近年来得到了学者和管理者的关注。研究主要从职场排斥的概念、测量工具、与其它概念的比较及实证研究四个方面,对国内外相关研究进行了梳理,并探讨中国文化的权变作用。未来研究应从中国的组织情境特点出发,继续完善职场排斥的概念和维度,扩展研究层次,深入分析影响机制,结合中国文化对职场排斥展开本土化研究,丰富研究视角。     

Selective social learning in infancy: looking for mechanisms

Although there is mounting evidence that selective social learning begins in infancy, the psychological mechanisms underlying this ability are currently a controversial issue. The purpose of this study is to investigate whether theory of mind abilities and statistical learning skills are related to infants’ selective social learning. Seventy‐seven 18‐month‐olds were first exposed to a reliable or an unreliable speaker and then completed a word learning task, two theory of mind tasks, and a statistical learning task. If domain‐general abilities are linked to selective social learning, then infants who demonstrate superior performance on the statistical learning task should perform better on the selective learning task, that is, should be less likely to learn words from an unreliable speaker. Alternatively, if domain‐specific abilities are involved, then superior performance on theory of mind tasks should be related to selective learning performance. Findings revealed that, as expected, infants were more likely to learn a novel word from a reliable speaker. Importantly, infants who passed a theory of mind task assessing knowledge attribution were significantly less likely to learn a novel word from an unreliable speaker compared to infants who failed this task. No such effect was observed for the other tasks. These results suggest that infants who possess superior social‐cognitive abilities are more apt to reject an unreliable speaker as informant. A video abstract of this article can be viewed at: https://youtu.be/zuuCniHYzqo     

双眼视差的神经机制与知觉学习效应

双眼瞳距使得空间某物体在左右眼视网膜的成像存在微小位置差异, 这种差异被称为双眼视差(binocular disparity), 是立体视知觉的重要信息来源。对双眼视差的心理物理学研究始于18世纪初, 迄今已有接近两百年的历史。近年来, 双眼视差研究主要集中在两方面。其一是用电生理、脑成像技术考察双眼视差在视觉背、腹侧通路的模块化表征, 其脑区表征反映出视觉系统的层级式、平行式加工规律。其二是应用知觉学习范式研究双眼视差的可塑性。未来研究应综合脑成像和神经调控技术考察双眼视差的神经机制及其学习效应, 包括双眼视差与多种深度线索间的信息整合和交互作用。应用方向上, 可结合虚拟现实等技术优化训练范式, 实现立体视力的康复和增强。     

Distinct mechanisms in visual category learning

The ways in which visual categories are learned, and in which well-established categories are represented and retrieved, are fundamental issues of cognitive neuroscience. Researchers have typically studied these issues separately, and the transition from the initial phase of category learning to expertise is poorly characterized. The acquisition of novel categories has been shown to depend on the striatum, hippocampus, and prefrontal cortex, whereas visual category expertise has been shown to involve changes in inferior temporal cortex. The goal of the present experiment is to understand the respective roles of these brain regions in the transition from initial learning to expertise when category judgments are being made. Subjects were explicitly trained, over 2 days, to classify realistic faces. Subjects then performed the categorization task during fMRI scanning, as well as a perceptual matching task, in order to characterize how brain regions respond to these faces when not explicitly categorizing them. We found that, during face categorization, face-selective inferotemporal cortex, lateral prefrontal cortex, and dorsal striatum are more responsive to faces near the category boundary, which are most difficult to categorize. In contrast, the hippocampus and left superior frontal sulcus responded most to faces farthest from the category boundary. These dissociable effects suggest that there are several distinct neural mechanisms involved in categorization, and provide a framework for understanding the contribution of each of these brain regions in categorization.     

Aggressive behavior: A comprehensive review of its neurochemical mechanisms and management

Aggression is a deliberate series of actions that lead to harm, injury, or destruction of another organism, and is the most common factor promoting violent crimes. Beyond being the immediate cause of physical injury, aggressive behavior also produces profound long term emotional disabilities in its victims. When outburst of aggression is comorbid with DSM-IV-defined neuropsychiatric disorders, the offenders are usually given psychiatric care; however, when they appear normal or healthy, their most likely fate is punishment by the law. This punitive approach often increases aggression, thereby promoting the propensity for violent crimes. Antipsychotics are the drugs commonly used for treatment of aggression and violent outbursts. However, the uses of these drugs have serious side effects of catalepsy or impairment of sensorimotor performance. They also affect the defense or flight capabilities of organisms, which further limit their usefulness in aggression. Thus, there is a critical need to search for agents that can selectively reduce aggression without affecting other behaviors or causing any serious unwanted side effects. This review focuses on the types, neurochemical bases, and animal models of aggression, with a comprehensive appraisal of the pharmacological approach to the treatment of the disorder.