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Time-lapse photography is perhaps the best tool we have to bridge the chasm between the time scale at which plants live and our own.
Pollan explains that our perception of plant intelligence is hindered by our own sense of time, and that "time-lapse photography is perhaps the best tool we have to bridge the chasm between the time scale at which plants live and our own".
Alas, such contamination was a much bigger problem for the shadowy vehicles that issued asset-backed securities before the crisis.Another concern is any disparity between the time scale of a financial institution's borrowing and lending (called a maturity mismatch if you think it is worrying and maturity transformation if you think it is helpful).
In practice, due to free energy barriers, there is often a wide gap between the time scale of the transformation and the time scale accessible with simulations.
In the literature [16, 17], the authors solved the problems of closedness of time scales under translations and introduced some concepts of almost periodic functions defined by translations, which realized that one is able to solve almost periodic problems through Δ-calculus theory directly without considering any relationship between the time scale and (mathbb{R}).
In order to maintain consistency between the time scale used here (Appendix S4) and the multiple time scales of the PaleoDB, correlations were established between 389 time intervals in the PaleoDB and 80 time intervals used by Macrostrat [32].
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The order gaps between the time scales are considered in the model, which are related to the periodic excitation and the changing rates of the variables.
From a geometric perspective, we view both resonance and phase-resonance as the result of the interaction between the time scales of the neuron (determined by the geometry of the unperturbed phase plane and the intrinsic time-scale separation) and the oscillatory input (captured by the moving v-nullcline).
As will be shown later, I/O mappings are successfully memorized when the difference between the time scales is appropriate.
We introduce a reinforcement-learning-based layered neural network model with two synaptic time scales; in this network, I/O relations are successively memorized when the difference between the time scales is appropriate.
In the present study, we show that the maximum capacity can be realized by establishing an appropriate relationship between the time scales of FS and BS plasticity, and the results suggest that such multiple timescales would be important for memorizing.
More suggestions(13)
between the city scale
between the time lag
between the time dependence
between the observation scale
between the interactivity scale
between the time delay
between the quality scale
between the participation scale
between the time series
between the reservoir scale
between the defect scale
between the time correlation
between the laboratory scale
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