Models of neural dynamics in brain information processing — the developments of 'the decade'
Models of neural dynamics in brain information processing — the developments of 'the decade'
复制标题
大脑信息处理中的神经动力学模型——“十年”的发展
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
G. R. Ivanitski
中科院分区：
文献类型：
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作者：
G. N. Borisyuk;R. M. Borisyuk;Y. Kazanovich;G. R. Ivanitski
讨论了在过去十年中发展起来的神经网络模型，其目的是再现不同大脑结构中神经活动的时空模式。该模型的主要目的是测试大脑信息处理中的同步、时间和相位关系的假设。所考虑的模型包括棘波序列的时间结构模型、神经活动动力学模型以及注意和特征整合的振荡模型。
Neural network models are discussed that have been developed during the last decade with the purpose of reproducing spatio-temporal patterns of neural activity in different brain structures. The main goal of the modeling was to test hypotheses of synchronization, temporal and phase relations in brain information processing. The models being considered are those of temporal structure of spike sequences, of neural activity dynamics, and oscillatory models of attention and feature integration.