Abstract
This paper considers the problem of hearing in the broadest possible terms. What kind of information is available in sound about events in the environment? What kind of cognitive mechanisms could extract this information? To address such global problems, we think it is essential to construct simulations of auditory processing, but to evaluate progress, real-world audition is difficult to deal with. To test the simulations, it is useful to develop artificial auditory environments that are simplified, yet retain certain critical properties of natural auditory environments, such as the property of openness. In this paper, we shall schematize the general properties of auditory environments and some major classes of information about time that are relevant for perception. Our theme is that to understand auditory cognition, we not only need to understand auditory processing mechanisms, we also need a clear idea of the problems that must be solved by an auditory system. If the task can be clearly defined, some hypotheses can be formulated about the global dynamic properties of neural systems that are potentially capable of performing these tasks. These systems may then serve as a starting point for developing models of neural mechanisms.
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Port, R.F., Anderson, S.E., McAuley, J.D. (1995). Toward Simulated Audition in Open Environments. In: Covey, E., Hawkins, H.L., Port, R.F. (eds) Neural Representation of Temporal Patterns. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1919-5_4
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DOI: https://doi.org/10.1007/978-1-4615-1919-5_4
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