Understanding Cognition Through Large-Scale Cortical Networks

An emerging body of evidence from a number of fields is beginning to reveal general neural principles underlying cognition. The characteristic adaptability of cognitive function is seen to derive from large-scale networks in the cerebral cortex that are able to repeatedly change the state of coordination among their constituent areas on a subsecond time scale. Experimental and theoretical studies suggest that large-scale network dynamics operate in a metastable regime in which the interdependence of cortical areas is balanced between integrating and segregating activities. Cortical areas, through their coordination dynamics, are thought to rapidly resolve a large number of mutually imposed constraints, leading to consistent local states and a globally coherent state of cognition.     

Joint action: bodies and minds moving together

The ability to coordinate our actions with those of others is crucial for our success as individuals and as a species. Progress in understanding the cognitive and neural processes involved in joint action has been slow and sparse, because cognitive neuroscientists have predominantly studied individual minds and brains in isolation. However, in recent years, major advances have been made by investigating perception and action in social context. In this article we outline how studies on joint attention, action observation, task sharing, action coordination and agency contribute to the understanding of the cognitive and neural processes supporting joint action. Several mechanisms are proposed that allow individuals to share representations, to predict actions, and to integrate predicted effects of own and others' actions.     

Interactive alignment as an allostatic process: A literature review

Research on interactive alignment encompasses various perspectives, including the recognition of linguistic coordination patterns, mental representation processes between interlocutors, and linguistic and behavioral convergence. In the absence of a literature review that presents the advances in the study of interactive alignment, this study identified 64 theoretical and empirical articles developed over 25 years (1996–2021) following the PRISMA methodology. Methodological and theoretical aspects derived from the analysis of the aforementioned reports are presented, showing how synchronization parameters interact, the associated neural bases, the impact of alignment on the development of joint actions, cognitive load, social interactions in general, and the prediction of language. The discussion and conclusions analyze the information presented and propose a comprehensive analysis from an allostatic perspective (predictive regulation through change) to advance the understanding of interactive alignment.     

赌博游戏中的near-miss效应

near-miss效应是指在赌博中, 与一般的输钱和赢钱相比, “几乎赢(near-miss)”的输钱会诱发个体更高的生理唤醒和更强的赌博动机, 从而导致个体持续赌博的一种现象, 是导致赌博成瘾的主要诱因之一。针对这种现象的研究范式大致有三种：老虎机/类老虎机任务、轮盘任务和刮刮乐彩票任务。这种现象的理论解释目前主要有认知曲解假说、控制幻觉理论和受挫假说。near-miss效应的脑机制和病理研究才刚刚起步, 所涉及到的脑功能区域主要包括脑岛、腹侧纹状体等。未来的研究应在near-miss效应发生机制的理论模型建构、研究范式多样化、研究技术多模态化、病理机制和临床干预等方面进一步展开。     

Cognitive and Neural Contributions to Understanding the Conceptual System

ABSTRACT— The conceptual system contains categorical knowledge about experience that supports the spectrum of cognitive processes. Cognitive science theories assume that categorical knowledge resides in a modular and amodal semantic memory, whereas neuroscience theories assume that categorical knowledge is grounded in the brain's modal systems for perception, action, and affect. Neuroscience has influenced theories of the conceptual system by stressing principles of neural processing in neural networks and by motivating grounded theories of cognition, which propose that simulations of experience represent knowledge. Cognitive science has influenced theories of the conceptual system by documenting conceptual phenomena and symbolic operations that must be grounded in the brain. Significant progress in understanding the conceptual system is most likely to occur if cognitive and neural approaches achieve successful integration.     

Convergence of biological and psychological perspectives on cognitive coordination in schizophrenia

The concept of locally specialized functions dominates research on higher brain function and its disorders. Locally specialized functions must be complemented by processes that coordinate those functions, however, and impairment of coordinating processes may be central to some psychotic conditions. Evidence for processes that coordinate activity is provided by neurobiological and psychological studies of contextual disambiguation and dynamic grouping. Mechanisms by which this important class of cognitive functions could be achieved include those long-range connections within and between cortical regions that activate synaptic channels via NMDA-receptors, and which control gain through their voltage-dependent mode of operation. An impairment of these mechanisms is central to PCP-psychosis, and the cognitive capabilities that they could provide are impaired in some forms of schizophrenia. We conclude that impaired cognitive coordination due to reduced ion flow through NMDA-channels is involved in schizophrenia, and we suggest that it may also be involved in other disorders. This perspective suggests several ways in which further research could enhance our understanding of cognitive coordination, its neural basis, and its relevance to psychopathology.     

A review of brain-based neuro-cognitive models

We present a survey of recent brain-based neural network models of various aspects of cognition, covering learning and episodic memory, working memory, attention control, goal formation, language learning and use and consciousness. These models are assessed in the light of their explanation of experimental data, as well as the possible help they have provided in understanding global cognitive processing principles. The paper concludes with a discussion of how the models discussed might help to guide the creation of an artificial cognitive brain.     

What drives the organization of object knowledge in the brain?

Various forms of category-specificity have been described at both the cognitive and neural levels, inviting the inference that different semantic domains are processed by distinct, dedicated mechanisms. In this paper, we argue for an extension of a domain-specific interpretation to these phenomena that is based on network-level analyses of functional coupling among brain regions. On this view, domain-specificity in one region of the brain emerges because of innate connectivity with a network of regions that also process information about that domain. Recent findings are reviewed that converge with this framework, and a new direction is outlined for understanding the neural principles that shape the organization of conceptual knowledge.     

Investigating the Awareness of Remembering

ABSTRACT— There is a marked lack of consensus concerning the best way to learn how conscious experiences arise. In this article, we advocate for scientific approaches that attempt to bring together four types of phenomena and their corresponding theoretical accounts: behavioral acts, cognitive events, neural events, and subjective experience. We propose that the key challenge is to comprehensively specify the relationships among these four facets of the problem of understanding consciousness without excluding any facet. Although other perspectives on consciousness can also be informative, combining these four perspectives could lead to significant progress in explaining a conscious experience such as remembering. We summarize some relevant findings from cognitive neuroscience investigations of the conscious experience of memory retrieval and of memory behaviors that transpire in the absence of the awareness of remembering. These examples illustrate suitable scientific strategies for making progress in understanding consciousness by developing and testing theories that connect the behavioral expression of recall and recognition, the requisite cognitive transactions, the neural events that make remembering possible, and the awareness of remembering.     

Understanding social motor coordination

Recently there has been much interest in social coordination of motor movements, or as it is referred to by some researchers, joint action. This paper reviews the cognitive perspective’s common coding/mirror neuron theory of joint action, describes some of its limitations and then presents the behavioral dynamics perspective as an alternative way of understanding social motor coordination. In particular, behavioral dynamics’ ability to explain the temporal coordination of interacting individuals is detailed. Two experiments are then described that demonstrate how dynamical processes of synchronization are apparent in the coordination underlying everyday joint actions such as martial art exercises, hand-clapping games, and conversations. The import of this evidence is that emergent dynamic patterns such as synchronization are the behavioral order that any neural substrate supporting joint action (e.g., mirror systems) would have to sustain.     

The transition form theory to therapy: Test of two instructional methods

This study compared college students' understanding of the role of three language learning theories (operant, sociolinguistic, cognitive) in language theory through two instructional methods: video-based anchored instruction and traditional classroom instruction. Results indi-cated no significant difference between the performance of students in the two instructional groups on the post-test while students who received anchored instruction scored significantly higher on two transfer tests than students who received the traditional instruction. Video-based anchored instruction was found to be a valuable instructional tool which increased students' understanding of theoretical principles; through observations they experienced abstract theoretical principles as the foundation for clinicians' actions and interactions with language-impaired children.     

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.     

Towards a Vygotskyan cognitive robotics: The role of language as a cognitive tool

Cognitive Robotics can be defined as the study of cognitive phenomena by their modeling in physical artifacts such as robots. This is a very lively and fascinating field which has already given fundamental contributions to our understanding of natural cognition. Nonetheless, robotics has to date addressed mainly very basic, low-level cognitive phenomena like sensory-motor coordination, perception, and navigation, and it is not clear how the current approach might scale up to explain high-level human cognition. In this paper we argue that a promising way to do that is to merge current ideas and methods of ‘embodied cognition’ with the Russian tradition of theoretical psychology which views language not only as a communication system but also as a cognitive tool, that is by developing a Vygotskyan cognitive robotics. We substantiate this idea by discussing several domains in which language can improve basic cognitive abilities and permit the development of high-level cognition: learning, categorization, abstraction, memory, voluntary control, and mental life.     

Modeling developmental transitions in adaptive resonance theory

Neural networks are applied to a theoretical subject in developmental psychology: modeling developmental transitions. Two issues that are involved will be discussed: discontinuities and acquiring qualitatively new knowledge. We will argue that by the appearance of a bifurcation, a neural network can show discontinuities and may acquire qualitatively new knowledge. First, it is shown that biological principles of neurite outgrowth result in self-organization in a neural network, which is strongly dependent on a bifurcation in the activity dynamics. Second, the effect of a bifurcation due to morphological change is investigated in an Adaptive Resonance Theory (ART) network. Exact ART networks with quantitative differences in network structure at the category level show qualitatively different dynamical regimes, which are separated by bifurcations. These qualitative differences in dynamics affect the cognitive function of Exact ART: Representations of learned categories are local or distributed.     

The Basics of Brain Development

Over the past several decades, significant advances have been made in our understanding of the basic stages and mechanisms of mammalian brain development. Studies elucidating the neurobiology of brain development span the levels of neural organization from the macroanatomic, to the cellular, to the molecular. Together this large body of work provides a picture of brain development as the product of a complex series of dynamic and adaptive processes operating within a highly constrained, genetically organized but constantly changing context. The view of brain development that has emerged from the developmental neurobiology literature presents both challenges and opportunities to psychologists seeking to understand the fundamental processes that underlie social and cognitive development, and the neural systems that mediate them. This chapter is intended to provide an overview of some very basic principles of brain development, drawn from contemporary developmental neurobiology, that may be of use to investigators from a wide range of disciplines.     

创造力产生过程中的神经振荡机制

创造力究竟是怎么产生的, 目前尚未得出一致的结论。神经电生理技术因其高时间分辨率, 可以准确地揭示创造力产生进程中的神经振荡机制, 从而帮助人们更深刻地理解创造力的本质。近年来的研究发现, 单节律alpha神经振荡会随着创造力的增加而增强, 这反映了创造力产生过程中的内部信息加工需求增加、自上而下的抑制控制增强。同时, 多频段神经振荡交叉节律耦合体现了创造性产生过程中额叶、颞叶和顶叶等多脑区之间信息交流的动态变化。未来研究应该以整合理论框架为基础, 结合多层次多方法的研究工具, 引进更生态化的数理计算方法, 并利用计算神经科学建模来预测个体创造力发展趋势, 从而全面深刻地认识创造力的本质。     

Radical Embodied Cognitive Neuroscience

Abstract

A radical embodied cognitive neuroscience (RECN) based on ecological psychology requires the understanding of the brain, its structure, and its functions to be compatible with the main tenets of the Gibsonian theory. In this paper, we propose neural reuse as a promising candidate to achieve such understanding. We base our proposal on two fundamental ideas. In section two, we review what we take to be the two central requirements for a RECN based on ecological psychology: compatibility with the explanation of perception and action at the ecological scale and the rejection of computation as a paradigm for the explanation of the activity of the brain. In section three, we show how neural reuse meets the two requirements and, furthermore, we evaluate its theoretical parallelism with ecological psychology. Finally, after developing these ideas, in the conclusion we put forward further aspects and research possibilities that follow from the coalition of neural reuse and ecological psychology for a Gibsonian neuroscience.     

发展性协调障碍的神经机制

发展性协调障碍是一种特殊的发育障碍, 它的一个显著特征是动作协调困难, 这种障碍影响着5%~8%学龄儿童的学业成绩和日常生活。发展性协调障碍常常与其他类型的学习困难并存。发展性协调障碍的病因非常复杂, 这种障碍与一定程度的视觉空间认知能力受损有关, 早期精细运动技能发育与脑神经发育进程可能存在时间的重合。近年来, 研究者们试图探索影响发展性协调障碍的神经基础, 并先后提出不同的神经关联假说。这些理论假说主要涉及到小脑、顶叶、胼胝体、基底神经节和大脑白质等脑区。本文全面回顾了该领域研究的最新进展, 并提出未来研究应该关注的方向与问题。     

The effect of visuo-motor transformations on hand-foot coordination: evidence in favor of the incongruency hypothesis

Understanding how multiple constraints contribute to the emergence of coordinated behavior has been the topic of considerable debate in cognitive sciences. The present experiment addressed the issue of the effects of visual motion structures (iso- and non-isodirectionality) on the stability of hand-foot coordination patterns. Visuo-motor transformations--decorrelating the perceived movement direction from the actually generated direction--were applied to both in-phase and anti-phase patterns. Two mutually exclusive hypotheses--the "visual grouping hypothesis" and the "incongruency hypothesis"--were tested. The results indicated that both conditions of transformed visual feedback destabilized the actual performed coordination patterns. Thus, despite the existence of common underlying principles that govern both the perceived motion pattern and the generation of hand-foot coordination patterns, it appeared that perceptual grouping principles were not exploited to monitor the production of coordination. These results strongly suggest that the congruency between the performed pattern and the perceived visual feedback is the primary factor determining the (in)stability of hand-foot coordination patterns.     

Neural evidence supports a novel framework for spatial navigation

The spatial knowledge used for human navigation has traditionally been separated into three categories: landmark, route, and survey knowledge. While behavioral research has retained this framework, it has become increasingly clear from recent neuroimaging studies that such a classification system is not adequate for understanding the brain. This review proposes a new framework, with a taxonomy based on the cognitive processes and subprocesses involved in spatial navigation. The neural correlates of spatial memory can inform our understanding of the cognitive processes involved in human navigation, and conversely, the specific task demands of an experiment can inform the interpretation of neuroimaging results. This review examines the neural correlates of each cognitive process separately, to provide a closer inspection of each component of spatial navigation. While landmark, route, and survey knowledge are still important components of human navigation, the neural correlates are not neatly ascribed to these three categories. The present findings provide motivation for a more detailed examination of the cognitive processes engaged during wayfinding.