In several research problems we face probabilistic sequences of inputs (e.g., sequence of stimuli) from which an agent generates a corresponding sequence of responses and it is of interest to model/discover some kind of relation between them. To model such relation in the context of statistical learning in neuroscience, a new class of stochastic process have been introduced 5, namely sequences of random objects driven by context tree models. In this paper we introduce a freely available Matlab toolbox (SeqROCTM) that implements three model selection methods to make inference about the parameters of this kind of stochastic process.