Abstract
Studies of structural connectivity at the synaptic level show that in synaptic connections of the cerebral cortex, the excitatory postsynaptic potential (EPSP) in most synapses exhibits sub-mV values, while a small number of synapses exhibit large EPSPs ( >~1.0 [mV]). This means that the distribution of EPSP fits a log-normal distribution. While not restricting structural connectivity, skewed and long-tailed distributions have been widely observed in neural activities, such as the occurrences of spiking rates and the size of a synchronously spiking population. Many studies have been modeled this long-tailed EPSP neural activity distribution; however, its causal factors remain controversial. This study focused on the long-tailed EPSP distributions and interlateral synaptic connections primarily observed in the cortical network structures, thereby having constructed a spiking neural network consistent with these features. Especially, we constructed two coupled modules of spiking neural networks with excitatory and inhibitory neural populations with a log-normal EPSP distribution. We evaluated the spiking activities for different input frequencies and with/without strong synaptic connections. These coupled modules exhibited intermittent intermodule-alternative behavior, given moderate input frequency and the existence of strong synaptic and intermodule connections. Moreover, the power analysis, multiscale entropy analysis, and surrogate data analysis revealed that the long-tailed EPSP distribution and intermodule connections enhanced the complexity of spiking activity at large temporal scales and induced nonlinear dynamics and neural activity that followed the long-tailed distribution.
Highlights
R ECENT studies using neuroimaging modalities, such as functional magnetic resonance imaging, Manuscript received May 27, 2019; revised March 30, 2020; accepted August 5, 2020
In the case with strong excitatory synaptic connections and = 0.3 [Hz], the slow frequency component of power ([1:5] [Hz]), which corresponds to the intermittently alternative behavior observed in Fig. 2(b), increased in comparison with the other cases
We evaluated spiking activities given different input frequencies of the Poisson process in the cases with/without strong excitatory postsynaptic potential (EPSP) connections
Summary
R ECENT studies using neuroimaging modalities, such as functional magnetic resonance imaging (fMRI), Manuscript received May 27, 2019; revised March 30, 2020; accepted August 5, 2020. Date of publication August 21, 2020; date of current version August 4, 2021. Haruhiko Nishimura is with the Graduate School of Applied Informatics, University of Hyogo, Kobe 650-0047, Japan. Nobuhiko Wagatsuma is with the Department of Information Science, Faculty of Science, Toho University, Chiba 274-8510, Japan. Satoshi Ando is with the Financial and Service Industry Business Unit, JSOL Corporation, Tokyo 104-0053, Japan
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have