Chadwick Angus, van Rossum Mark C W, Nolan Matthew F
Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
Centre for Integrative Physiology, University of Edinburgh, Edinburgh, United Kingdom.
Elife. 2015 Feb 2;4:e03542. doi: 10.7554/eLife.03542.
Hippocampal place cells encode an animal's past, current, and future location through sequences of action potentials generated within each cycle of the network theta rhythm. These sequential representations have been suggested to result from temporally coordinated synaptic interactions within and between cell assemblies. Instead, we find through simulations and analysis of experimental data that rate and phase coding in independent neurons is sufficient to explain the organization of CA1 population activity during theta states. We show that CA1 population activity can be described as an evolving traveling wave that exhibits phase coding, rate coding, spike sequences and that generates an emergent population theta rhythm. We identify measures of global remapping and intracellular theta dynamics as critical for distinguishing mechanisms for pacemaking and coordination of sequential population activity. Our analysis suggests that, unlike synaptically coupled assemblies, independent neurons flexibly generate sequential population activity within the duration of a single theta cycle.
海马体位置细胞通过在网络θ节律的每个周期内产生的动作电位序列来编码动物的过去、当前和未来位置。这些序列表征被认为是由细胞集合内部和之间的时间协调突触相互作用产生的。相反,我们通过对实验数据的模拟和分析发现,独立神经元中的速率编码和相位编码足以解释θ状态下CA1群体活动的组织。我们表明,CA1群体活动可以被描述为一种不断演变的行波,它表现出相位编码、速率编码、尖峰序列,并产生一种涌现的群体θ节律。我们确定全局重映射和细胞内θ动力学的测量对于区分顺序群体活动的起搏和协调机制至关重要。我们的分析表明,与突触耦合的集合不同,独立神经元在单个θ周期的持续时间内灵活地产生顺序群体活动。