This kind of analysis not only allows us to study how each of the representations behaves using the original images (naturally containing some noise due to the imaging devices), but also gives an insight of how robust each of the representations actually is: those representations that produce similar results with or without induced errors can be regarded to be robust.
Increasingly, however, rules are being replaced by machine learning, a way of training a system how to behave using masses of data.
With the field still in an early stage, much can be learned about how stem cells behave using the approved cell lines or by working with animal stem cells or human adult stem cells, which are not subject to spending restrictions.
The particles in the swarm are distributed and then they behave using their own intelligence to find a good pathway to the objective function value.
Opening an Instagram account does not make you a social media expert; understanding how the platform works and how humans behave using the tool is more important than what you create on it.
The changes will fully utilize how an individual thinks and behaves using all the senses available including audio, kinesthetic, olfactory, tactile and visual.
We can, however, get a very good sense of how one's doppelganger would behave using predictive models.
We examine how a pair of animals should behave using a state-dependent approach, and ask what conditions are likely to lead to behavioural synchronisation occurring, and whether one of the individuals is more likely to act as a leader.
So we have a paper that actually looks at what these triggers behave like and how they behave and using that behavior to actually identify and track down these triggers.
Scott, B.B., Brody, C.D. & Tank, D.W. Cellular resolution functional imaging in behaving rats using voluntary head restraint.
