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621.
A key question in studying consciousness is how neural operations in the brain can identify streams of sensory input as belonging to distinct modalities, which contributes to the representation of qualitatively different experiences. The basis for identification of modalities is proposed to be constituted by self-organized comparative operations across a network of unimodal and multimodal sensory areas. However, such network interactions alone cannot answer the question how sensory feature detectors collectively account for an integrated, yet phenomenally differentiated experiential content. This problem turns out to be different from, although related to, the binding problem. It is proposed that the neural correlate of an enriched, multimodal experience is constituted by the attractor state of a dynamic associative network. Within this network, unimodal and multimodal sensory maps continuously interact to influence each other’s attractor state, so that a feature change in one modality results in a fast re-coding of feature information in another modality. In this scheme, feature detection is coded by firing-rate, whereas firing phase codes relational aspects. 相似文献
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Attempts to develop neural network models of personality have not generally used empirical data for training and validating the models. Two illustrations are provided which demonstrate the incorporation of empirical data into the modeling of behavioral responses to situations varying in closeness and hierarchical role relationships. An event-contingent recording procedure is utilized to obtain data from the same participant in multiple events for multiple situations. This data is then used in the training and validation of the neural networks. The first illustration models dominant and submissive behaviors in response to situations varying in social role status. The second illustration models agreeable and quarrelsome behaviors in response to situations varying in closeness and gender of the interaction partner. The predictions from both neural network models are consistent with previous research. 相似文献
625.
Segerstrom SC 《Journal of research in personality》2007,41(4):772-786
Dispositional optimism may be associated with growth of social and status resources by virtue of optimists' greater persistence and better performance. Conversely, resource growth may give people a more positive view of their future and increase optimism. Changes in dispositional optimism and resources over 10 years were examined in former law students (N = 61). More optimistic first-year law students made more money 10 years later, but income did not predict later optimism. More optimistic students did not have larger social networks 10 years later, but increases in social network size predicted increased optimism. These changes predicted mental and physical health. Dispositional optimism was less stable than many personality traits (r = .35), potentially because it is responsive to resource change. 相似文献
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It has been acknowledged that both trait and state contribute to psychological measurements. However, existing structural equation models for disentangling these sources of variability are based on assumptions that are not tenable in the light of empirical results. A new model is presented, termed the integrated trait–state (ITS) model, which both decomposes state and trait variance and allows one to test the assumptions that underly existing approaches. This is illustrated with an empirical example. The relationship between the ITS model and other analytic approaches as well as conceptual models of traits and states are discussed. 相似文献
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在神经网络的最新取向下, 探讨阅读脑机制中背侧和腹侧通路的协作机制, 是解决语言认知神经科学多个理论问题共同面临的焦点。本项目拟通过两个脑功能成像实验, 建构汉字阅读的动态因果模型, 系统地考察汉字阅读的神经网络, 以及阅读网络中背、腹侧通路的协作机制。实验一利用快速适应实验范式的优点, 识别和考察汉字阅读涉及的认知成分所对应的功能脑区, 以及脑区联结形成的神经回路, 并建构汉字阅读的动态因果模型; 实验二进一步考察在刺激属性(语音和语义信息)和任务要求下阅读脑区的动态激活及相互作用。通过不同任务下的模型对比, 重点探讨阅读网络的脑区联结模式变化, 尤其是背、腹侧通路受刺激和任务影响时的协作机制。研究结果将为揭示阅读的神经生理模型、解决语言特异性脑区激活的争论等理论问题提供直接的证据, 还能为语言教学、阅读障碍矫治、以及临床应用提供理论基础与指导。 相似文献
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The emergence of the Cognitive Sciences, in the middle of the 20th Century, was initially based on an abstract model of the mind: the computer metaphor. The human mind was understood in analogy to the digital computer, as a rule-based, symbol processor. As a consequence, the human being was envisioned as logically-rationally guided, radically disembodied and isolated from culture. Over the last few decades, several disciplines, such as Biology, Mathematics, Philosophy, Psychology and Neuroscience, have begun to address the study of intentionality, intersubjectivity and natural cognition. Searching for a better understanding of these complex issues, a number of approaches have been developed with the promise of capturing the specific qualities of human cognition, radically omitted from a computationalist view of mind. Nevertheless, since these research programs are rather recent, concrete methodological designs and empirical approaches in the form of experimentally testable hypotheses are still scarce. This special issue brings together several perspectives in order to propose alternative research approaches in the topics of Intentionality, Intersubjectivity and Ecology of Mind. We believe it is necessary to discuss and advance towards explicit empirical frames in the form of actual experiments, specific predictions and formal models. The essays presented here constitute an attempt to move in this direction, with the specific aim of reconsidering the study of some forgotten properties of brain and mind. 相似文献