Champalimaud Neuroscience Programme, Instituto Gulbenkian de Ciencia, Oeiras, Portugal.
Nat Neurosci. 2010 Aug;13(8):917-9. doi: 10.1038/nn.2579. Epub 2010 Jun 13.
Learning ultimately relies on changes in the flow of activity in neural microcircuits. The plasticity of neural dynamics is particularly relevant for the processing of temporal information. Chronic stimulation of cultured rat cortical networks revealed experience-dependent plasticity in neural dynamics. We observed changes in the temporal structure of activity that reflected the intervals used during training, suggesting that cortical circuits are inherently capable of temporal processing on short timescales.
学习最终依赖于神经微电路中活动的流动变化。神经动力学的可塑性对于时间信息的处理尤为重要。对培养的大鼠皮质网络的慢性刺激揭示了神经动力学的经验依赖性可塑性。我们观察到活动的时间结构发生了变化,反映了训练过程中使用的时间间隔,这表明皮质电路在短时间尺度上固有地能够进行时间处理。