Memristor synapse-coupled memristive neuron network: synchronization transition and occurrence of chimera

2020 ◽  
Vol 100 (1) ◽  
pp. 937-950 ◽  
Author(s):  
Han Bao ◽  
Yunzhen Zhang ◽  
Wenbo Liu ◽  
Bocheng Bao
2019 ◽  
Vol 99 (3) ◽  
pp. 2339-2354 ◽  
Author(s):  
Bocheng Bao ◽  
Qinfeng Yang ◽  
Dong Zhu ◽  
Yunzhen Zhang ◽  
Quan Xu ◽  
...  

2020 ◽  
Vol 29 (12) ◽  
pp. 2050187
Author(s):  
V. Keerthy Rai ◽  
R. Sakthivel

Neural networks are mimetic with biological neuron which are employed on digital computers. These networks are designed with CMOS technology using 0.45[Formula: see text][Formula: see text]m in cadence virtuoso. The scaling of CMOS limits parameters like power consumption, area and parallelism. To overcome the limitations, a nanoscale, nonvolatile Memristor device is used to design the synapses. The proposed network is designed for neuron synapse networks implemented with a memristor device. This network is compared with neuron linked with CMOS synapse. The proposed network has low power consumption, high spike frequency, and low delay value. The spike frequency of Memristor synapse increases by 65.51% when compared with the existing CMOS synapse and power consumption is reduced to 52.79%. The delay is reduced to 0.294[Formula: see text][Formula: see text]s. The simulation results are carried using Specter.


2006 ◽  
Vol 65 (5) ◽  
pp. 427-439
Author(s):  
O. N. Katkov ◽  
V. A. Pimenov ◽  
A. P. Ryzhkov

2020 ◽  
Vol 4 ◽  
pp. 83-90
Author(s):  
Andrey Kanaev ◽  
◽  
Maria Sakharova ◽  
Evgeny Oparin ◽  

This article provides a simulation model of the process of functioning and restoration of a network clock network (CNS), which is distinguished by the completeness of accounting for the states of the process of functioning of the CNS network. The key indicator of the process of functioning of the CNS network is the duration of the control cycle of the CNS network, which is understood as the time from the moment a failure occurs on the CNS network until the moment the mode of transmission of synchronization signals is restored. On the basis of the developed simulation model of the process of functioning and restoration of the CNS network, the duration of the control cycle of the CNS network is estimated depending on the time spent in individual states of the process of functioning of the TSS network and on the characteristics of individual subsystems of the CNS system. The results obtained can serve as a basis for developing sound strategies and plans for managing the CNS network.


Sign in / Sign up

Export Citation Format

Share Document