Tremblay Robin, Lee Soohyun, Rudy Bernardo
Department of Neuroscience and Physiology, Neuroscience Institute, New York University Langone Medical Center, New York, NY 10016, USA.
Department of Neuroscience and Physiology, Neuroscience Institute, New York University Langone Medical Center, New York, NY 10016, USA; Department of Anesthesiology, Preoperative Care, and Pain Medicine, New York University Langone Medical Center, New York, NY 10016, USA.
Neuron. 2016 Jul 20;91(2):260-92. doi: 10.1016/j.neuron.2016.06.033.
Cortical networks are composed of glutamatergic excitatory projection neurons and local GABAergic inhibitory interneurons that gate signal flow and sculpt network dynamics. Although they represent a minority of the total neocortical neuronal population, GABAergic interneurons are highly heterogeneous, forming functional classes based on their morphological, electrophysiological, and molecular features, as well as connectivity and in vivo patterns of activity. Here we review our current understanding of neocortical interneuron diversity and the properties that distinguish cell types. We then discuss how the involvement of multiple cell types, each with a specific set of cellular properties, plays a crucial role in diversifying and increasing the computational power of a relatively small number of simple circuit motifs forming cortical networks. We illustrate how recent advances in the field have shed light onto the mechanisms by which GABAergic inhibition contributes to network operations.
皮质网络由谷氨酸能兴奋性投射神经元和局部γ-氨基丁酸(GABA)能抑制性中间神经元组成,这些中间神经元控制信号流动并塑造网络动态。尽管GABA能中间神经元在新皮质神经元总数中占少数,但它们高度异质,根据其形态、电生理和分子特征以及连接性和体内活动模式形成功能类别。在这里,我们回顾了我们目前对新皮质中间神经元多样性以及区分细胞类型的特性的理解。然后,我们讨论了多种细胞类型(每种细胞类型都具有一组特定的细胞特性)的参与如何在使构成皮质网络的相对少量简单电路基序多样化并提高其计算能力方面发挥关键作用。我们举例说明了该领域的最新进展如何揭示GABA能抑制作用于网络运作的机制。