McKiernan Erin C, Marrone Diano F
Departamento de Física, Facultad de Ciencias, Universidad Nacional Autónoma de México, Ciudad de México, México.
Department of Psychology, Wilfrid Laurier University, Waterloo, Ontario, Canada.
PeerJ. 2017 Sep 19;5:e3836. doi: 10.7717/peerj.3836. eCollection 2017.
Neuron types (e.g., pyramidal cells) within one area of the brain are often considered homogeneous, despite variability in their biophysical properties. Here we review literature demonstrating variability in the electrical activity of CA1 hippocampal pyramidal cells (PCs), including responses to somatic current injection, synaptic stimulation, and spontaneous network-related activity. In addition, we describe how responses of CA1 PCs vary with development, experience, and aging, and some of the underlying ionic currents responsible. Finally, we suggest directions that may be the most impactful in expanding this knowledge, including the use of text and data mining to systematically study cellular heterogeneity in more depth; dynamical systems theory to understand and potentially classify neuron firing patterns; and mathematical modeling to study the interaction between cellular properties and network output. Our goals are to provide a synthesis of the literature for experimentalists studying CA1 PCs, to give theorists an idea of the rich diversity of behaviors models may need to reproduce to accurately represent these cells, and to provide suggestions for future research.
尽管大脑一个区域内的神经元类型(例如锥体细胞)在生物物理特性上存在变异性,但通常被认为是同质的。在此,我们回顾了一些文献,这些文献表明海马体CA1区锥体细胞(PCs)的电活动存在变异性,包括对体细胞电流注入、突触刺激以及自发网络相关活动的反应。此外,我们描述了CA1区PCs的反应如何随发育、经验和衰老而变化,以及一些潜在的负责离子电流。最后,我们提出了在扩展这一知识方面可能最具影响力的方向,包括使用文本和数据挖掘来更深入地系统研究细胞异质性;运用动力系统理论来理解并潜在地对神经元放电模式进行分类;以及通过数学建模来研究细胞特性与网络输出之间的相互作用。我们的目标是为研究CA1区PCs的实验人员提供文献综述,让理论家了解模型可能需要重现以准确代表这些细胞的丰富多样行为,并为未来研究提供建议。