A new model reveals that bursts of neural activity known as critical avalanches underlie the brain’s ability to respond consistently to stimuli. Read More »
Both the predictive power and the memory storage capability of an artificial neural network called a reservoir computer increase when time delays are added into how the network processes signals, according to a new model. Read More »
A new theoretical framework for plastic neural networks predicts dynamical regimes where synapses rather than neurons primarily drive the network’s behavior, leading to an alternative candidate mechanism for working memory in the brain. Read More »
New theoretical work establishes an analogy between systems that are dynamically frustrated, such as glasses, and thermodynamic systems whose members have conflicting goals, such as predator–prey ecosystems. Read More »
A new approach to solving arrays of two-dimensional differential equations may allow researchers to go beyond the one-dimensional oscillator paradigm. Read More »
A new theoretical framework allows scientists to accurately estimate the friction a surface experiences in a turbulent flow, such as an airplane wing flying through the sky. Read More »
An analysis of data from the Tokyo Stock Exchange provides the first quantitative evidence for the Lillo-Mike-Farmer model—a long-standing theory in economics. Read More »
A new symmetry-based classification could help researchers describe open, many-body quantum systems that display quantum chaos. Read More »
Dissipation affects the time asymmetry of fluctuations in systems out of thermodynamic equilibrium. A newly discovered inequality elucidates that connection. Read More »
Model improvements uncover more information on the link between grazing animals and the formation of spiral vegetation patterns in arid climates. Read More »
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