Hasselmo Michael E
Center for Memory and Brain, Department of Psychology and Program in Neuroscience, Boston University, Boston, Massachusetts 02215, USA.
Hippocampus. 2008;18(12):1213-29. doi: 10.1002/hipo.20512.
This article presents a model of grid cell firing based on the intrinsic persistent firing shown experimentally in neurons of entorhinal cortex. In this model, the mechanism of persistent firing allows individual neurons to hold a stable baseline firing frequency. Depolarizing input from speed-modulated head direction cells transiently shifts the frequency of firing from baseline, resulting in a shift in spiking phase in proportion to the integral of velocity. The convergence of input from different persistent firing neurons causes spiking in a grid cell only when the persistent firing neurons are within similar phase ranges. This model effectively simulates the two-dimensional firing of grid cells in open field environments, as well as the properties of theta phase precession. This model provides an alternate implementation of oscillatory interference models. The persistent firing could also interact on a circuit level with rhythmic inhibition and neurons showing membrane potential oscillations to code position with spiking phase. These mechanisms could operate in parallel with computation of position from visual angle and distance of stimuli. In addition to simulating two-dimensional grid patterns, models of phase interference can account for context-dependent firing in other tasks. In network simulations of entorhinal cortex, hippocampus, and postsubiculum, the reset of phase effectively replicates context-dependent firing by entorhinal and hippocampal neurons during performance of a continuous spatial alternation task, a delayed spatial alternation task with running in a wheel during the delay period (Pastalkova et al., Science, 2008), and a hairpin maze task.
本文提出了一种基于内嗅皮层神经元实验中显示的内在持续放电的网格细胞放电模型。在该模型中,持续放电机制使单个神经元能够保持稳定的基线放电频率。来自速度调制的头部方向细胞的去极化输入会暂时使放电频率偏离基线,导致放电相位与速度积分成比例地偏移。只有当持续放电神经元处于相似的相位范围内时,来自不同持续放电神经元的输入汇聚才会导致网格细胞放电。该模型有效地模拟了开放场环境中网格细胞的二维放电以及theta相位进动的特性。该模型提供了振荡干扰模型的另一种实现方式。持续放电还可能在电路层面与节律性抑制以及显示膜电位振荡的神经元相互作用,以通过放电相位编码位置。这些机制可以与根据刺激的视角和距离计算位置并行运行。除了模拟二维网格模式外,相位干扰模型还可以解释其他任务中依赖上下文的放电。在内嗅皮层、海马体和后下托的网络模拟中,相位重置有效地复制了内嗅皮层和海马体神经元在执行连续空间交替任务、延迟期内在轮子上奔跑的延迟空间交替任务(帕斯塔科娃等人,《科学》,2008年)以及发夹迷宫任务期间依赖上下文的放电。