Continuous bump attractor networks (CBANs) are a prevailing model for how neural circuits represent continuous variables. CBANs maintain these representations by temporally integrating inputs that ...

Complex systems may work better when their parts are not perfectly alike. Northwestern physicists found that carefully ...

Complex systems across biology, social science, technology and ecology are often represented as networks, with components modelled as nodes and their interactions as edges. Network analysis seeks to ...

A machine-learning framework predicts when a complex system, such as an ecosystem or a power grid, will undergo a critical transition. Figure 1: Early warning signals are intended to anticipate a ...

But over time, as technology has improved, we have gotten better at collecting and analyzing data. A lot better. In response, a new approach to making sense of complicated phenomena—a new scientific ...

The formal foundations of systems biology were articulated in the early 2000s, when Leroy Hood and colleagues at the Institute for Systems Biology in Seattle proposed a framework combining systematic ...

Complex systems in nature, like their synthetic counterparts in technology, comprise a large number of small components that assemble of their own accord through molecular interactions. Gaining a ...

Living organisms, our planet and even the entire universe are getting ever more complex with time. “Complex” doesn’t just mean “complicated”: it means that the parts of a system interact in ways that ...