@inproceedings{b53c0aba60ba4c15a3817fd5e6180408,
title = "A silicon model of amplitude modulation detection in the auditory brainstem",
abstract = "Detection of the periodicity of amplitude modulation is a major step in the determination of the pitch of a sound. In this article we will present a silicon model that uses synchronicity of spiking neurons to extract the fundamental frequency of a sound. It is based on the observation that the so called 'Choppers' in the mammalian Cochlear Nucleus synchronize well for certain rates of amplitude modulation, depending on the cell's intrinsic chopping frequency. Our silicon model uses three different circuits, i.e., an artificial cochlea, an Inner Hair Cell circuit, and a spiking neuron circuit.",
author = "\{Van Schaik\}, Andr{\'e} and Eric Fragni{\`e}re and Eric Vittoz",
year = "1997",
language = "English",
isbn = "0262100657",
series = "Advances in Neural Information Processing Systems",
publisher = "Neural Information Processing Systems Foundation",
pages = "741--747",
booktitle = "Advances in Neural Information Processing Systems 9 - Proceedings of the 1996 Conference, NIPS 1996",
note = "10th Annual Conference on Neural Information Processing Systems, NIPS 1996 ; Conference date: 02-12-1996 Through 05-12-1996",
}