A model of smooth pursuit in primates based on learning the target dynamics
A model of smooth pursuit in primates based on learning the target dynamics
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DOI：
10.1016/j.neunet.2005.01.001
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发表时间：
2005-04
期刊：
影响因子：
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通讯作者：
T. Shibata;H. Tabata;S. Schaal;M. Kawato
中科院分区：
文献类型：
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作者：
T. Shibata;H. Tabata;S. Schaal;M. Kawato
虽然灵长类平滑追踪系统的预测性通过几个行为和神经生理学实验已经很明显，但很少有模型试图全面解释这些结果。本文提出的模型与前人采用最优控制理论的模型一致，但我们假设了两个新问题：(1)大脑皮层的医学上颞区(MST)采用递归神经网络(RNN)来预测当前或未来的目标速度；(2)通过在线学习获得目标运动的正向模型。我们使用刺激性研究来证明我们的新模型如何支持这些假设。
While the predictive nature of the primate smooth pursuit system has been evident through several behavioural and neurophysiological experiments, few models have attempted to explain these results comprehensively. The model we propose in this paper in line with previous models employing optimal control theory; however, we hypothesize two new issues: (1) the medical superior temporal (MST) area in the cerebral cortex implements a recurrent neural network (RNN) in order to predict the current or future target velocity, and (2) a forward model of the target motion is acquired by on-line learning. We use stimulation studies to demonstrate how our new model supports these hypotheses.