Di Maio Vito, Santillo Silvia, Ventriglia Francesco
Institute of Applied Science and Intelligent Systems (ISASI) of CNR, Pozzuoli, Italy.
Cogn Neurodyn. 2021 Apr;15(2):279-297. doi: 10.1007/s11571-020-09607-4. Epub 2020 Jul 1.
Synaptic transmission is the key system for the information transfer and elaboration among neurons. Nevertheless, a synapse is not a standing alone structure but it is a part of a population of synapses inputting the information from several neurons on a specific area of the dendritic tree of a single neuron. This population consists of excitatory and inhibitory synapses the inputs of which drive the postsynaptic membrane potential in the depolarizing (excitatory synapses) or depolarizing (inhibitory synapses) direction modulating in such a way the postsynaptic membrane potential. The postsynaptic response of a single synapse depends on several biophysical factors the most important of which is the value of the membrane potential at which the response occurs. The concurrence in a specific time window of inputs by several synapses located in a specific area of the dendritic tree can, consequently, modulate the membrane potential such to severely influence the single postsynaptic response. The degree of modulation operated by the synaptic population depends on the number of synapses active, on the relative proportion between excitatory and inbibitory synapses belonging to the population and on their specific mean firing frequencies. In the present paper we show results obtained by the simulation of the activity of a single Glutamatergic excitatory synapse under the influence of two different populations composed of the same proportion of excitatory and inhibitory synapses but having two different sizes (total number of synapses). The most relevant conclusion of the present simulations is that the information transferred by the single synapse is not and independent simple transition between a pre- and a postsynaptic neuron but is the result of the cooperation of all the synapses which concurrently try to transfer the information to the postsynaptic neuron in a given time window. This cooperativeness is mainly operated by a simple mechanism of modulation of the postsynaptic membrane potential which influences the amplitude of the different components forming the postsynaptic excitatory response.
突触传递是神经元之间信息传递和加工的关键系统。然而,一个突触并非独立存在的结构,而是众多突触群体的一部分,这些突触群体将来自多个神经元的信息输入到单个神经元树突棘特定区域。这个群体由兴奋性和抑制性突触组成,它们的输入会使突触后膜电位朝着去极化(兴奋性突触)或超极化(抑制性突触)方向变化,从而调节突触后膜电位。单个突触的突触后反应取决于几个生物物理因素,其中最重要的是反应发生时的膜电位值。因此,位于树突棘特定区域的多个突触在特定时间窗口内的输入同时发生时,会调节膜电位,从而严重影响单个突触后反应。突触群体产生的调节程度取决于活跃突触的数量、该群体中兴奋性和抑制性突触的相对比例以及它们的特定平均发放频率。在本文中,我们展示了在两个不同群体影响下,对单个谷氨酸能兴奋性突触活动进行模拟所得到的结果。这两个群体中兴奋性和抑制性突触的比例相同,但大小(突触总数)不同。本模拟最相关的结论是,单个突触传递的信息并非是突触前神经元和突触后神经元之间简单的独立转换,而是所有突触共同协作的结果,这些突触在给定的时间窗口内同时试图将信息传递给突触后神经元。这种协作主要通过一种调节突触后膜电位的简单机制来实现,该机制会影响构成突触后兴奋性反应的不同成分的幅度。