  One of the main challenges in Biophysics teaching consists on how to motivate
students to appreciate the beauty of theoretical formulations. This is crucial
when the system modeling requires numerical calculations to achieve realistic
results. In this sense, due to the massive use of software, students often
become a mere users of computational tools without capturing the essence of
formulation and further problem solution. It is, therefore, necessary for
instructors to find innovating ways, allowing students developing of their
ability to deal with mathematical modelling. To address this issue one can
highlight the use of Benford's law, thanks to its simple formulation, easy
computational implementation and wide possibility for applications. Indeed,
this law enables students to carry out their own data analysis with use of free
software packages. This law is among the several power or scaling laws found in
biological systems. However, to the best of our knowledge, this law has not
been contemplated in Cell Biophysics yet. Beyond its vast applications in many
fields, neuromuscular junction represents a remarkable substrate for learning
and teaching of complex system. Thus, in this work, we applied both classical
and a generalized form of Benford's Law, to examine if electrophysiological
data recorded from neuromuscular junction conforms the anomalous number law.
The results indicated that nerve-muscle communications conform the generalized
Benford's law better than the seminal formulation. From our
electrophysiological measurements a biological scenario is used to interpret
the theoretical analysis.
