• Title/Summary/Keyword: 신경심리학적 모델

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Biological Mechanism of Somatization : Mainly Focused on the Neuropsychological Model of Somatization (신체화의 생물학적 기전 : 신체화의 신경심리학적 모델을 중심으로)

  • Lee, Young-Ho
    • Korean Journal of Psychosomatic Medicine
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    • v.8 no.1
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    • pp.122-140
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    • 2000
  • Somatization disorder is a chronic condition characterized by multiple somatic complaints that are not due to any apparent organic illness. Somatization disorder is related historically to hysteria and hysteria has been defined by the existence of somatic complaints for which no organic reason can be found. Therefore most theories of somatization have focused on the psychodynamic and sociological perspectives. However, the concept that the somatic presentation of emotional distress or psychiatric illness might have a neurobiological basis has also aroused considerable interest. Relative to this perspective, the case of Anna O. which has been considered the prototype of hysteria, was reformulated from a neuropsychological perspective. Several neurophysiological and neuropsychological studies, studies concerning hemispheric differences in symptom presentation of the patients with hysteria have been shown the evidences for the biological basis of somatization. Moreover, recent neuroimaging studies in somatization disorder also show that brain dysfunction in somatization. The author reviewed several candidate theories which could help to explain the process of somatization in the perspective of biological basis and proposed the new neuropsychological model of somatization. The author also examined the possible application of this model to the treatment of somatization disorder and discussed it's limitation and the future directions in this field.

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The Biological Base of Learning and Memory(II):A Review of the Studies Employing Animal Model Systems (학습과 기억의 생물학적 기초(II) :실험동물 모델체계를 사용한 연구들의 개관)

  • 문양호
    • Korean Journal of Cognitive Science
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    • v.7 no.3
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    • pp.37-60
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    • 1996
  • From the biopsychological point of view,learning could be defined as the processes to transfer the information that we obtain from environment to the neural circuits in the brain.In the studies to determine the biological substrates of learning and memory,there was a remarkable effort to identify neural circuits related with a specific type of learning and to describe the mechanixm of neural plasticity of learning and memory,under the assumption that the memory orinformation may be stored as a modificationof neural synapes in the central nerviys system.On the other hand,there was a different kind of tendency to analyze the mechanism of interactions between neural substrates involved in learning and memory,under the assumption that a specific information may be represented in the patterns of comples neural network of the central nervous system.The present review,in the former position.focused on the research methods and the chracteristics and finding of the investigations employing animal model systems to indentify the essential site of engram for learning and memory.Specifically,the review presents major advances in ourunderstanding of the memory trace circuit for a specific type of learning,with the use of animal model system,the detemination of the critical lodi of neuaral plastic chabges In learing abd memory,and the neurophysiological an biocemical mechanixms of the neural modifia by learint.

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The Emotion Inference Model Bassed using Neural Network (신경망을 이용한 감정추론 모델)

  • 김상헌;정재영;이원호;이형우;노태정
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.10a
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    • pp.309-312
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    • 2004
  • 본 논문에서는 인간과 로봇의 상호작용을 위해 감정에 기반한 감정 처리 모델을 설계하였다. 감정 재현 기술은 사용자에게 친근감을 주기 위해 로봇 시스템이 제스처, 표정을 통하여 사람이나 동물의 감성과 동작을 표현하는 분야이다. 로봇이 감정을 표현하는 문제에는 많은 심리학적, 해부학적, 공학적 문제가 관련된다. 여러가지 애매모호한 상황임에 불구하고 심리학자인 Ekman과 Friesen에 의해 사람의 여섯 가지 기본 표정이 놀람, 공포, 혐오, 행복감, 두려움, 슬픔은 문화에 영향을 받지 않고 공통적으로 인식되는 보편성을 가지고 있는 것으로 연구됐다. 사람의 행동에 대한 로봇의 반응이 학습되어 감정모델이 결정되고, 그 결과가 행동결정에 영향을 주어 로봇의 행동에 반영되도록 하였다. 본 논문에서는 인간과 로봇과의 상호작용을 통해 정보를 축적하고 인간의 반응에 적응해나 갈 수 있는 감정 처리 모델을 제안한다.

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A Visual Model for the Perception of the Optical illusions from Discrete Dot Stimuli (이산 도트 자극에서 시각적 착시를 인식하는 시각 모델)

  • Jung, Eun-Hwa;Hong, Keong-Ho
    • The KIPS Transactions:PartB
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    • v.10B no.6
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    • pp.639-646
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    • 2003
  • This paper proposes a neural network model for extracting optical illusions produced by a sequence of discontinuous dot stimuli. The proposed model is based on visual cell's characters founded by visual information processing path. This study approaches on the basis of physiological observation of the perceptual phenomena that some simple ways of discrete dots are perceived as a continuous virtual contour rather than as separate dots. This paper presents the implementation of the optical illusions from discrete dot stimuli that are composed of virtual polygons from 6 to 10 dots. This experimental data are similar to those of Smith & Vos's physiological experiments. The proposed model shows that it can extract continuous illusion contours from discrete dot stimuli successfully.

A Study on the Emotional Evaluation Model of Color Pattern Based on Adaptive Fuzzy System (적응 퍼지 시스템을 이용한 칼라패턴 감성 평가 모델에 관한 연구)

  • 엄경배
    • Journal of the Korean Institute of Intelligent Systems
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    • v.9 no.5
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    • pp.526-537
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    • 1999
  • In the paper. we propose an evaluation model based the adaptive fuzzy systems, which can transform the physical features of a color pattern to the emotional features. The model is motivated by the Soen's psychological experiments, in which he found the physical features such as average hue, saturation, intensity and the dynamic components of the color patterns affects to the emotional features represented by a pair of adjective words having the opposite meanings. Our proposed model consists of two adaptive fuzzy rule-bases and the y-model, a l i r ~ r ys et operator, to fuze the evaluation values produced by them. The model shows con~parablep erformances to the neural network for the approximation of the nonlinear transforms, and it has the advantage to obtain the linbwistic interpretation from the trained results. We believe the evaluated results of a color pattern can be used to the emotion-based color image retrievals.

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Slowing of the Epigenetic Clock in Schizophrenia (조현병에서 나타나는 후성유전학적 나이 가속도 감속)

  • Yeon-Oh Jeong;Jinyoung Kim;Karthikeyan A Vijayakumar;Gwang-Won Cho
    • Journal of Life Science
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    • v.33 no.9
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    • pp.730-735
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    • 2023
  • In the past decade, numerous studies have been carried out to quantify aging with the help of artificial intelligence. Using DNA methylation data, various models have been developed; these are commonly called epigenetic clocks. Epigenetic age acceleration is usually associated with disease conditions. Schizophrenia is a mental illness associated with severe mental and physical stress. This disease leads to high mortality and morbidity rates in young people compared with other psychological disorders. In the past, the research community considered this disease to be related to the accelerated aging hypothesis. In the current study, we wanted to investigate the epigenetic age acceleration changes in schizophrenia patients to obtain epigenetic insights into the disease. To measure the epigenetic age acceleration, we used two different DNA methylation clock models, namely, Horvath clock and Epi clock, as these are pan-tissue models. We utilized 450k array data compatible with both clocks. We found a slower epigenetic acceleration in the patients' samples when we used the Epi clock. We further analyzed the differentially methylated CpG sites between the control and cases and performed pathway enrichment analysis. We found that most of the CpGs are involved in neuronal processes.

Bibliometric analysis of source memory in human episodic memory research (계량서지학 방법론을 활용한 출처기억 연구분석: 인간 일화기억 연구를 중심으로)

  • Bak, Yunjin;Yu, Sumin;Nah, Yoonjin;Han, Sanghoon
    • Korean Journal of Cognitive Science
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    • v.33 no.1
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    • pp.23-50
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    • 2022
  • Source memory is a cognitive process that combines the representation of the origin of the episodic experience with an item. By studying this daily process, researchers have made fundamental discoveries that make up the foundation of brain and behavior research, such as executive function and binding. In this paper, we review and conduct a bibliometric analysis on source memory papers published from 1989 to 2020. This review is based on keyword co-occurrence networks and author citation networks, providing an in-depth overview of the development of source memory research and future directions. This bibliometric analysis discovers a change in the research trends: while research prior to 2010 focused on individuality of source memory as a cognitive function, more recent papers focus more on the implication of source memory as it pertains to connectivity between disparate brain regions and to social neuroscience. Keyword network analysis shows that aging and executive function are continued topics of interest, although frameworks in which they are viewed have shifted to include developmental psychology and meta memory. The use of theories and models provided by source memory research seem essential for the future development of cognitive enhancement tools within and outside of the field of Psychology.