Akamatsu M, Terao A, Hasbroucq T, Mouret I, Seal J
Neuroinformatics Laboratory, National Institute of Bioscience and Human Technology, MITI, Ibaraki, Japan.
Methods Inf Med. 1997 Dec;36(4-5):322-5.
Single neuron activities from cortical areas of a monkey were recorded while performing a sensory-motor task (a choice reaction time task). Quantitative trial-by-trial analysis revealed that the timing of peak activity exhibited large variation from trial to trial, compared to the variation in the behavioral reaction time of the task. Therefore, we developed a multi-unit dynamic neural network model to investigate the effects of structure of neural connections on the variation of the timing of peak activity. Computer simulation of the model showed that, even though the units are connected in a cascade fashion, a wide variation exists in the timing of peak activity of neurons because of parallel organization of neural network within each unit.
在一只猴子执行感觉运动任务（选择反应时任务）时，记录其皮质区域的单个神经元活动。逐次试验的定量分析表明，与任务的行为反应时变化相比，峰值活动的时间在不同试验之间表现出很大差异。因此，我们开发了一个多单元动态神经网络模型，以研究神经连接结构对峰值活动时间变化的影响。该模型的计算机模拟表明，尽管单元以级联方式连接，但由于每个单元内神经网络的并行组织，神经元峰值活动的时间仍存在很大差异。
