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It thus becomes apparent that there is a necessary dynamic mechanism required to yield a specific range of spiking under variation of synaptic inhibition time-scale.
The mean field synaptic drive model we present is based on the assumption that, within the populations of excitatory and inhibitory neurons, second-order terms reflecting the variation of synaptic connection strengths and the variation of synaptic drives can be ignored [5].
Alternatively, they might reflect a variation of synaptic density.
Thus, variation of synaptic strength across this region of E-I space can be used to tune the properties of gamma activity while maintaining the ability of the network to generate grid fields.
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The model for the time variation of the synaptic weights is the simple model.
To our knowledge this is the first direct analysis of synaptic variation affecting vulnerability of a neuronal circuit to a particular lesion.
Our data suggests the model could be refined to explore the effects of variation in synaptic size and strength from soma to dendrite spine.
To check that the membrane currents known to be present in LGN neurons were sufficient to generate the variation of energetic efficiency with synaptic conductance magnitude that is seen in Figure 5, we set up a Hodgkin-Huxley type of mathematical model of these cells, with current amplitudes set to those seen experimentally (see Supplemental Information).
26% of the expression variation of CPEB1 that regulates synaptic plasticity and is implied in cancer development [ 58] and GRM1 that is involved in neurotransmitter in the central nervous system and implicated in melanoma [ 59] was explained by overexpressed mir-25 and mir-15b, respectively.
This variation can lead to irrelevant changes in the number of synaptic vesicles per profile from time point to time point.
To measure the reliability of synaptic transmission, we quantified the coefficient of variation (CV) and the synaptic failure rate.
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