Memory Retrieval Based on Cortical Interaction
We propose a cortical neural network model and investigate the neuronal relevance of cortical interactions to recalling long-term memory. The model consists of the left and right hemispheres, each of which has IT (inferotemporal cortex) and PC (prefrontal cortex) networks. The information about visual features and their categories were encoded into point attractors of the IT and PC networks, respectively. In a category-association task, the IT network of the right hemisphere was stimulated with a cue feature. After a delay period, the IT network of the left hemisphere was simultaneously stimulated with the choice feature and an irrelevant feature. The cue and choice features belong to the same category, while the irrelevant feature belongs to other category. We demonstrate that the top-down pathway (PC-to-IT) triggers the retrieval of long-term memory of the choice feature from the IT, and the bottom-up pathway (IT-to-PC) contributes to the maintenance of the retrieved memory during the delay period.
O. Hoshino M. Zheng K. Kuroiwa
Department of Human Welfare Engineering, Oita University 700, Dannoharu, Oita, 870-1192, Japan Department of Information Network Science, Graduate School of Information Systems,The university of
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
71-76
2001-11-14（万方平台首次上网日期，不代表论文的发表时间）