The past twenty-five years have seen a strong increase in the number of publications related
to criticality in different areas of neuroscience. The potential of criticality to explain various …

Inverse problems in statistical physics are motivated by the challenges of 'big data'in
different fields, in particular high-throughput experiments in biology. In inverse problems, the …

The activity of a neural network is defined by patterns of spiking and silence from the
individual neurons. Because spikes are (relatively) sparse, patterns of activity with …

Maximum entropy models are the least structured probability distributions that exactly
reproduce a chosen set of statistics measured in an interacting network. Here we use this …

Highlights•The criticality hypothesis has received major attention in the past 25 years.•We
revise and discuss the experimental and conceptual controversies.•We propose that cortical …

Flocks of birds exhibit a remarkable degree of coordination and collective response. It is not
just that thousands of individuals fly, on average, in the same direction and at the same …

Life depends as much on the flow of information as on the flow of energy. Here we review
the many efforts to make this intuition precise. Starting with the building blocks of information …

Graph theory is now becoming a standard tool in system‐level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network representation …

Discussions of the hippocampus often focus on place cells, but many neurons are not place
cells in any given environment. Here we describe the collective activity in such mixed …

Single and collective cell migration are fundamental processes critical for physiological
phenomena ranging from embryonic development and immune response to wound healing …