%0 Generic %D 2015 %T Symbolic Music Similarity using Neuronal Periodicity and Dynamic Programming %A Valle, Rafael %A Freed, Adrian %E Springer %C London, UK %I Springer %S Lecture Notes in Computer Science %X We introduce NP-MUS, a symbolic music similarity algorithm tailored for polyphonic music with continuous representations of pitch and duration. The algorithm uses dynamic programming and a cost function that relies on a mathematical model of tonal fusion based on neuronal periodicity detection mechanisms. This paper reviews the general requirements of melodic similarity and offers a similarity method that better addresses contemporary and non-traditional music. We provide experiments based on monophonic and polyphonic excerpts inspired by spectral music and Iannis Xenakis.