Kim Sang-Yoon, Lim Woochang
Institute for Computational Neuroscience and Department of Science Education, Daegu National University of Education, Daegu, 42411 Korea.
Cogn Neurodyn. 2017 Oct;11(5):395-413. doi: 10.1007/s11571-017-9441-5. Epub 2017 Jun 10.
For studying how dynamical responses to external stimuli depend on the synaptic-coupling type, we consider two types of excitatory and inhibitory synchronization (i.e., synchronization via synaptic excitation and inhibition) in complex small-world networks of excitatory regular spiking (RS) pyramidal neurons and inhibitory fast spiking (FS) interneurons. For both cases of excitatory and inhibitory synchronization, effects of synaptic couplings on dynamical responses to external time-periodic stimuli () (applied to a fraction of neurons) are investigated by varying the driving amplitude of (). Stimulated neurons are phase-locked to external stimuli for both cases of excitatory and inhibitory couplings. On the other hand, the stimulation effect on non-stimulated neurons depends on the type of synaptic coupling. The external stimulus () makes a constructive effect on excitatory non-stimulated RS neurons (i.e., it causes external phase lockings in the non-stimulated sub-population), while () makes a destructive effect on inhibitory non-stimulated FS interneurons (i.e., it breaks up original inhibitory synchronization in the non-stimulated sub-population). As results of these different effects of (), the type and degree of dynamical response (e.g., synchronization enhancement or suppression), characterized by the dynamical response factor [Formula: see text] (given by the ratio of synchronization degree in the presence and absence of stimulus), are found to vary in a distinctly different way, depending on the synaptic-coupling type. Furthermore, we also measure the matching degree between the dynamics of the two sub-populations of stimulated and non-stimulated neurons in terms of a "cross-correlation" measure [Formula: see text]. With increasing , based on [Formula: see text], we discuss the cross-correlations between the two sub-populations, affecting the dynamical responses to ().
为了研究对外部刺激的动态响应如何依赖于突触耦合类型,我们考虑了兴奋性规则发放(RS)锥体神经元和抑制性快发放(FS)中间神经元构成的复杂小世界网络中的两种兴奋性和抑制性同步(即通过突触兴奋和抑制实现的同步)。对于兴奋性和抑制性同步这两种情况,通过改变外部周期性刺激()(施加于一部分神经元)的驱动幅度,研究了突触耦合对外部时间周期性刺激()的动态响应的影响。对于兴奋性和抑制性耦合这两种情况,受刺激的神经元都与外部刺激锁相。另一方面,对未受刺激神经元的刺激效果取决于突触耦合的类型。外部刺激()对兴奋性未受刺激的RS神经元产生建设性作用(即它在未受刺激的子群体中引起外部锁相),而()对抑制性未受刺激的FS中间神经元产生破坏性作用(即它打破了未受刺激子群体中原来的抑制性同步)。作为()这些不同效应的结果,发现以动态响应因子[公式:见正文](由存在和不存在刺激时的同步程度之比给出)表征的动态响应的类型和程度,根据突触耦合类型以明显不同的方式变化。此外,我们还根据“互相关”测量[公式:见正文]测量了受刺激和未受刺激神经元的两个子群体动力学之间的匹配程度。随着的增加,基于[公式:见正文],我们讨论了两个子群体之间的互相关,其影响对()的动态响应。