Jens Wilting

TL;DR: It is shown that incomplete sampling can bias estimates of the stability of such systems, and a novel, unbiased metric for use in such situations is introduced.

TL;DR: The experimental and conceptual controversy is discussed, and a parsimonious solution is presented that unifies the contradictory experimental results, avoids disadvantages of a critical state, and enables rapid, adaptive tuning of network properties to task requirements.

TL;DR: In this article, the authors found that differences in collective behavior between isolated neuron networks and the cortex of mammalian brains can be attributed to the strength of external inputs, which could open a path for creating more cortical-like behavior in neuronal networks cultured in a dish.

TL;DR: This approach enables us to predict yet unknown properties from very short recordings and for every circuit individually, including responses to minimal perturbations, intrinsic network timescales, and the strength of external input compared to recurrent activation, informing about the underlying coding principles for each circuit, area, state and task.