Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Department of Physiology, University of Toronto, Toronto, ON M5S 1A8, Canada.
Proc Natl Acad Sci U S A. 2019 May 14;116(20):10097-10102. doi: 10.1073/pnas.1812171116. Epub 2019 Apr 26.
Multiplexing refers to the simultaneous encoding of two or more signals. Neurons have been shown to multiplex, but different stimuli require different multiplexing strategies. Whereas the frequency and amplitude of periodic stimuli can be encoded by the timing and rate of the same spikes, natural scenes, which comprise areas over which intensity varies gradually and sparse edges where intensity changes abruptly, require a different multiplexing strategy. Recording in vivo from neurons in primary somatosensory cortex during tactile stimulation, we found that stimulus onset and offset (edges) evoked highly synchronized spiking, whereas other spikes in the same neurons occurred asynchronously. Stimulus intensity modulated the rate of asynchronous spiking, but did not affect the timing of synchronous spikes. From this, we hypothesized that spikes driven by high- and low-contrast stimulus features can be distinguished on the basis of their synchronization, and that differentially synchronized spiking can thus be used to form multiplexed representations. Applying a Bayesian decoding method, we verified that information about high- and low-contrast features can be recovered from an ensemble of model neurons receiving common input. Equally good decoding was achieved by distinguishing synchronous from asynchronous spikes and applying reverse correlation methods separately to each spike type. This result, which we verified with patch clamp recordings in vitro, demonstrates that neurons receiving common input can use the rate of asynchronous spiking to encode the intensity of low-contrast features while using the timing of synchronous spikes to encode the occurrence of high-contrast features. We refer to this strategy as synchrony-division multiplexing.
多路复用是指同时对两个或多个信号进行编码。已经证明神经元可以进行多路复用,但不同的刺激需要不同的多路复用策略。周期性刺激的频率和幅度可以通过相同的尖峰的时间和速率来编码,而自然场景由强度逐渐变化的区域和强度突然变化的稀疏边缘组成,需要不同的多路复用策略。我们在活体记录初级体感皮层神经元在触觉刺激时的活动,发现刺激的起始和结束(边缘)会引发高度同步的尖峰,而同一神经元中的其他尖峰则是异步的。刺激强度调制异步尖峰的速率,但不影响同步尖峰的时间。由此,我们假设由高对比度和低对比度刺激特征驱动的尖峰可以基于它们的同步性来区分,并且可以使用不同的同步尖峰来形成多路复用表示。通过应用贝叶斯解码方法,我们验证了从接收共同输入的模型神经元集合中可以恢复关于高对比度和低对比度特征的信息。通过区分同步和异步尖峰并分别对每种尖峰类型应用反向相关方法,同样可以实现良好的解码。这个结果,我们通过在体外进行的膜片钳记录进行了验证,证明了接收共同输入的神经元可以使用异步尖峰的速率来编码低对比度特征的强度,同时使用同步尖峰的时间来编码高对比度特征的发生。我们将这种策略称为同步划分多路复用。