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In particular, the energy cost has been expressed as a frequency of network flooding, as explained later.
This suggests a homeostatic mechanism controlling the frequency of network oscillations: changes in the pattern of connectivity could be compensated for by changes in synaptic strengths, or vice versa, meaning that the network frequency could be robust to changes induced by plasticity.
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In the CA3 region in NL3 R451C KI mice, miniature GABAergic postsynaptic currents (mGPSCs) were also increased and the release of GABA was affected [ 44]; moreover, in the CA3 region, the frequency of network-driven giant depolarizing potentials (GDPs) was increased, indicating that the R451C mutation enhanced correlated network activity in the immature hippocampus [ 44].
In this work we propose a numerical method for the calculation of resonant frequencies of network resonators and we also present an optimization method based on genetic algorithms to get targeted resonant frequencies of the network resonators.
Therefore, we next studied the effect of voltage dependence of resonant frequency on network oscillations.
The main apparent assumption of the present manuscript is that resonance frequency of interneurons should be fixed to enable frequency stability of network oscillations.
There are many obstacles faced by the vehicles' network such as frequency interruption of network connectivity and limited coverage area.
In fact, no neuron in the network fires more than 61 times in any given second of the simulation, which is less than the frequency of the network oscillation.
These results are tolerable given the significant reduction in the feedback frequency of the network.
Note that one iteration needed around 50 min by using 28 threads (cores, 2 for each frequency) of our network.
It would happen when the complement of the natural frequency of the network is close or coincides with one of the torsional frequencies of the T-G shaft system [3].
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