Abstract
We present two attractor neural network (ANN) [1] models introduced in [2, 3] to show how two particular characteristics of the sound frequency representation in the auditory cortex may influence the way in which we process sounds and sound sequences. In particular, we consider neurophysiologically recognized isofrequency stripes and different amount of cortical surface area devoted to low versus high frequencies. Although we apply these models to explain several phenomena in the perception of music, they can be generalized to other sounds as well.
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Beňušková, L. (2001). How Certain Characteristics of Cortical Frequency Representation May Influence our Perception of Sounds. In: Kůrková, V., Neruda, R., Kárný, M., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6230-9_31
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DOI: https://doi.org/10.1007/978-3-7091-6230-9_31
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