Timing using temporal context.
Timing using temporal context.
复制标题
使用时间上下文进行计时。
DOI：
10.1016/j.brainres.2010.07.045
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发表时间：
2010
期刊：
影响因子：
2.9
通讯作者：
Howard,MarcW
中科院分区：
文献类型：
--
作者：
Shankar,KarthikH;Howard,MarcW
我们提出了一个记忆模型，该模型明确地构建并存储了关于过去遇到刺激时的时间信息。时间信息由一组适应于时间上下文模型的时间上下文向量构造。这些载体是泄漏的积分器，可以从一群持续燃烧的细胞中构建出来。具有不同衰减率的时间上下文向量阵列计算实时事件的拉普拉斯变换。来自这些时间上下文载体的前馈兴奋和抑制连接的简单条带使另一群细胞，计时细胞。这些计时单元近似地重建了过去事件的整个时间历史。过去较远事件的时间表示不如较近事件的时间表示准确。这种历史重建过程，我们称为从拉普拉斯逆变换(TILT)开始的定时，显示了关于重建精度的标量属性。当结合到一个简单的联想记忆框架中时，我们发现倾斜预测了良好的峰值反应和韦伯定律性质，就像在间隔计时任务和经典的条件反射实验中观察到的那样。
We present a memory model that explicitly constructs and stores the temporal information about when a stimulus was encountered in the past. The temporal information is constructed from a set of temporal context vectors adapted from the temporal context model (TCM). These vectors are leaky integrators that could be constructed from a population of persistently firing cells. An array of temporal context vectors with different decay rates calculates the Laplace transform of real time events. Simple bands of feedforward excitatory and inhibitory connections from these temporal context vectors enable another population of cells, timing cells. These timing cells approximately reconstruct the entire temporal history of past events. The temporal representation of events farther in the past is less accurate than for more recent events. This history-reconstruction procedure, which we refer to as timing from inverse Laplace transform (TILT), displays a scalar property with respect to the accuracy of reconstruction. When incorporated into a simple associative memory framework, we show that TILT predicts well-timed peak responses and the Weber law property, like that observed in interval timing tasks and classical conditioning experiments.