首页> 外文会议>Computational Neuroscience Meeting (CNS'01) Jul, 2001 Monterey, California >A computational approach to memory deficits in schizophrenia
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A computational approach to memory deficits in schizophrenia

机译:精神分裂症记忆缺陷的计算方法

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Episodic memory impairment is one of the most reliable neuropsychological findings in schizophrenia. It has been suggested that medial temporal lobe abnormalities in schizophrenia underlie this impairment. We suggest that the specific memory deficits in schizophrenia may be caused by abnormal hippocampo-cortical communication via parahippocampal areas. We have used connectionist simulations to investigate this notion. The simulations involve list learning in a model that incorporates characteristics of the hippocampal and parahippocampal region. In this model context is used to store and recall episodic memories. Reduction of the nodes in the parahippocampal module of the model resulted in a schizophrenia-like memory deficit profile.
机译:发作性记忆障碍是精神分裂症中最可靠的神经心理学发现之一。已经提出,精神分裂症的颞中叶异常是这种损害的基础。我们建议精神分裂症中的特定记忆缺陷可能是由通过海马旁区域的异常海马-皮质通讯引起的。我们已经使用连接主义的模拟来研究这个概念。模拟包括在模型中的列表学习,该模型结合了海马和海马旁区域的特征。在此模型上下文中,用于存储和调用情景记忆。该模型的海马旁模块中的节点的减少导致精神分裂症样记忆不足的轮廓。

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