Biophysical realistic computational model for a probabilistic decision-making network that performs the comparison of two mechanical vibrations applied sequentially (f1 and f2). The model implements a dynamical competition between different neurons. The network contains excitatory pyramidal cells and inhibitory interneurons. The neurons are fully connected (with synaptic strengths as specified in the text). Neurons are clustered into populations. There are two different types of population: excitatory and inhibitory. There are two subtypes of excitatory population, namely specific and nonselective. Specific populations encode the result of the comparison process in the two-interval vibrotactile discrimination task (i.e., whether f1 > f2 or f1 < f2). The recurrent arrows indicate recurrent connections between the different neurons in a population.