Department of Neuroscience, University of Pavia Pavia, Italy ; Brain Connectivity Center, IRCCS C.Mondino Pavia, Italy.
Front Neural Circuits. 2013 May 17;7:93. doi: 10.3389/fncir.2013.00093. eCollection 2013.
The cerebellar granular layer has been suggested to perform a complex spatiotemporal reconfiguration of incoming mossy fiber signals. Central to this role is the inhibitory action exerted by Golgi cells over granule cells: Golgi cells inhibit granule cells through both feedforward and feedback inhibitory loops and generate a broad lateral inhibition that extends beyond the afferent synaptic field. This characteristic connectivity has recently been investigated in great detail and been correlated with specific functional properties of these neurons. These include theta-frequency pacemaking, network entrainment into coherent oscillations and phase resetting. Important advances have also been made in terms of determining the membrane and synaptic properties of the neuron, and clarifying the mechanisms of activation by input bursts. Moreover, voltage sensitive dye imaging and multi-electrode array (MEA) recordings, combined with mathematical simulations based on realistic computational models, have improved our understanding of the impact of Golgi cell activity on granular layer circuit computations. These investigations have highlighted the critical role of Golgi cells in: generating dense clusters of granule cell activity organized in center-surround structures, implementing combinatorial operations on multiple mossy fiber inputs, regulating transmission gain, and cut-off frequency, controlling spike timing and burst transmission, and determining the sign, intensity and duration of long-term synaptic plasticity at the mossy fiber-granule cell relay. This review considers recent advances in the field, highlighting the functional implications of Golgi cells for granular layer network computation and indicating new challenges for cerebellar research.
小脑颗粒层被认为对传入的苔藓纤维信号进行复杂的时空重新配置。在这个角色中,颗粒细胞的抑制作用是至关重要的:高尔基细胞通过前馈和反馈抑制回路抑制颗粒细胞,并产生广泛的侧向抑制,其范围超出了传入的突触场。最近,人们对这种特征性的连接进行了详细的研究,并将其与这些神经元的特定功能特性相关联。这些特性包括θ频率起搏、网络同步到相干振荡和相位重置。在确定神经元的膜和突触特性以及阐明输入爆发激活的机制方面也取得了重要进展。此外,电压敏感染料成像和多电极阵列 (MEA) 记录,结合基于真实计算模型的数学模拟,提高了我们对高尔基细胞活动对颗粒层电路计算的影响的理解。这些研究强调了高尔基细胞在以下方面的关键作用:生成以中心-环绕结构组织的颗粒细胞活动的密集簇;对多个苔藓纤维输入进行组合操作;调节传输增益和截止频率;控制尖峰定时和爆发传输;以及确定苔藓纤维-颗粒细胞中继的长时程突触可塑性的符号、强度和持续时间。本综述考虑了该领域的最新进展,强调了高尔基细胞对颗粒层网络计算的功能意义,并为小脑研究提出了新的挑战。