Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems
Abstract
This article describes a neural network model capable of generating a spatial representation of the pitch of an acoustic source. Pitch is one of several auditory percepts used by humans to separate multiple sound sources in the environment from each other. The model provides a neural instantiation of a type of "harmonic sieve". It is capable of quantitatively simulating a large body of psychoacoustical data, including new data on octave shift perception.Air Force Office of Scientific Research (90-0128, 90-0175); Defense Advanced Research Projects Agency (90-0083); National Science Foundation (IRI 90-24877); American Society for Engineering Educatio
