spiking

It sounds very much like the model described in Hebbian learning and spiking neurons (Gerstner et al., 1999).

Actually the reason (at least in this paper) is that spiking nets are much more power efficient.

Analytics is a powerful and necessary toolset, but it's become harder to keep the c-suite from spiking the sauce.

Like the traders in the pits were all keen to make markets when volatility was spiking and prices were dropping?

Routinely spiking your insulin levels through excessive carb intake is what leads to insulin resistance.

Insulin resistance is caused by leading a lifestyle where you are constantly spiking your insulin levels through diet, lifestyle, genetics, etc...

That hamburger comes with a calorie loaded, glucose spiking bun, and sugary sauce.

So spiking to up another 6% to 12% percent briefly was clearly related, but 1/2 of that total was directly from failed policy.

Man, why are all the silicon people so fixated on spiking nets?

I've certainly had times where spiking a bit of code and then thinking was valuable.

Hm, the ngram graph seems to show 'effusive' spiking well before Krakatoa, so I doubt that's the root explanation for the increase.

I'm surprised you didn't notice Russia and China not spiking as much either.

They refer to their model as "single-compartment phenomenological spiking neurons, learning synapses with spike-timing dependent plasticity, and axonal delays" in their The cat is out of the bag article.

As for "spiking" insulin levels as the cause for insulin resistance, that is hardly proven.

But, the general idea isn't to keep you from feeling hungry, but rather to keep your blood sugar relatively constant, so the body doesn't enter "hoard energy" mode (where muscle is preferred as an energy source over fat) and you aren't spiking your bloodstream with huge surges of glucose (and thus insulin, which is what prompts the storage of glucose as fat) after binging.

Spiking the site with fake users is consistent with the faking it implied by laptop hosting.