Department of Physics, Lanzhou University of Technology, Lanzhou, 730050, China.
School of Science, Chongqing University of Posts and Telecommunications, Chongqing, 430065, China.
J Biol Phys. 2023 Mar;49(1):49-76. doi: 10.1007/s10867-022-09622-y. Epub 2023 Jan 14.
From a physical viewpoint, any external stimuli including noise disturbance can inject energy into the media, and the electric response is regulated by the equivalent electric stimulus. For example, mode transition in electric activities in neurons occurs and kinds of spatial patterns are formed during the wave propagation. In this paper, a feasible criterion is suggested to explain and control the growth of electric synapse and memristive synapse between Hindmarsh-Rose neurons in the presence of noise. It is claimed that synaptic coupling can be enhanced adaptively due to energy diversity, and the coupling intensity is increased to a saturation value until two neurons reach certain energy balance. Two identical neurons can reach perfect synchronization when electric synapse coupling is further increased. This scheme is also considered in a chain neural network and uniform noise is applied on all neurons. However, reaching synchronization becomes difficult for neurons in presenting spiking, bursting, and chaotic and periodic patterns, even when the local energy balance is corrupted to continue further growth of the coupling intensity. In the presence of noise, energy diversity becomes uncertain because of spatial diversity in excitability, and development of regular patterns is blocked. The similar scheme is used to control the growth of memristive synapse for neurons, and the synchronization stability and pattern formation are controlled by the energy diversity among neurons effectively. These results provide possible guidance for knowing the biophysical mechanism for synapse growth and energy flow can be applied to control the synchronous patterns between neurons.
从物理角度来看，任何外部刺激，包括噪声干扰，都可以向介质注入能量，而电响应则由等效电刺激来调节。例如，在神经元的电活动中，模式转换发生，并且在波传播过程中形成各种空间模式。在本文中，提出了一个可行的准则，用于解释和控制 Hindmarsh-Rose 神经元之间的电突触和忆阻突触在噪声存在下的生长。据称，由于能量多样性，突触耦合可以自适应地增强，并且耦合强度增加到饱和值，直到两个神经元达到一定的能量平衡。当电突触耦合进一步增加时，两个相同的神经元可以达到完美的同步。该方案也在链式神经网络中进行了考虑，并在所有神经元上施加均匀噪声。然而，当神经元呈现尖峰、爆发、混沌和周期模式时，即使局部能量平衡被破坏以继续增加耦合强度，达到同步也变得困难。在噪声存在的情况下，由于兴奋性的空间多样性，能量多样性变得不确定，并且规则模式的发展被阻止。类似的方案用于控制神经元的忆阻突触的生长，通过神经元之间的能量多样性有效地控制同步稳定性和模式形成。这些结果为了解突触生长的生物物理机制提供了可能的指导，并且能量流可以应用于控制神经元之间的同步模式。
