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The derivative of the error function to a synaptic weight is the rate of change of the error when changing the strength of a particular synapse.
In the simulation examples, this is accomplished by changing the strength of input correlation and bidirectional interaction and observing the corresponding change in the phase-lag.
Neurons are constantly changing the strength of these connections, a trait known as hyperplasticity.
However, humans are changing the strength of the greenhouse effect by increasing the proportion of greenhouse gases in the air.
At the same time, post-translational modification of CAZ proteins was implicated in changing the strength of mammalian brain synapses.
This additional Arctic warmth gets spread southwards and can also affect atmospheric circulation, changing the strength and location of major winds such as the jet stream.
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The electron ground state can cross over different phases, e.g., spin density wave, charge density wave, singlet superconductivity, and metamagnetism, by changing the strengths of the SOIs and the crystallographic orientation of the QW.
By changing the length, strength and number of pulses, the researchers found they could vary the resulting color.
Changing the field strength affects the resonance frequency of nuclei in direct proportion, and can thus be used to collect spatial information.
The hardness gradient in the material was modeled by changing the yield strength as a function of depth.
Changing the ionic strength from 0 to 0.025 and 0.05 M, results in the formation of gradually larger nanoparticles 40, 60 and 90 nm, respectively.
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CEO of Professional Science Editing for Scientists @ prosciediting.com