Introduction
In the past few decades, the essentially biological nature of the study of neuroscience has been infused by the tools provided by mathematics. At first, the use of mathematics was mostly methodological in nature—primarily aiding the analysis of data. Soon, this influence turned conceptual, framing the very issues that characterize modern neuroscience today. This development has not remained uncontroversial; some neurobiologists resent what they perceive to be a hostile takeover of the field, as many quantitative methods applied to neurobiology were pioneered by nonbiologists with a background in physics, engineering, mathematics, statistics, and computer science. While these concerns are valid to some degree, and while excesses ...
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