In multi-electrode recordings on slices of rat cortex and neuronal cultures 6,12, neuronal avalanches were observed whose sizes were distributed according to a power law with an exponent of −3/2. The ...
Dynamical and structural heterogeneities have long been thought to play a key role in a unified picture of solidification in view of the two competitive processes of crystallization and vitrification.
A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...
A high-resolution Arctic Ocean dynamical downscaling dataset for understanding past and future climate change was established. The dataset includes 115-year historical simulations from 1900 to 2014 ...
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Can deep learning techniques predict sudden state transitions in nonlinear dynamical systems?
Nonlinear dynamical systems are systems that can undergo sudden shifts not due to changes in their state or stability, but in response to the rate at which external conditions or parameters change.
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