Neurons, the main information processing cells in the nervous system, are complex analog computers which encode incoming information in sequences of point events called action potentials or spikes. To understand how the brain computes we must first develop a precise language to speak about these spike trains. It is generally accepted that such language is provided by the theory of point processes. Interestingly, this theory is also useful in the description of behavior of mice cohorts studied in modern intelligent cages, such as the IntelliCage, which allows for multiple mice to be kept together to study the social aspects of their behavior in an environment that is essentially human-free. In my lecture I will briefly discuss these two remote levels of animal functioning illustrating them with some results of specific experiments. I will then show how increasing mathematical precision of the description of the studied phenomena may lead to biologically interesting results.