A method is proposed for interpreting the behaviour of NARX neural networks. The correspondence between time-delay neural networks and Volterra series is extended to the NARX class of networks. The Volterra kernels, or rather, their Fourier transforms, are obtained via harmonic probing. In the same
Neural analysis of sound frequency in insects
β Scribed by Gerald S. Pollack; Kazuo Imaizumi
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 126 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0265-9247
No coin nor oath required. For personal study only.
β¦ Synopsis
Insects, like other hearing animals, must extract information from the sounds they hear so that they may respond appropriately. One parameter of sound that carries information is its frequency content. Insects analyze sound frequency to identify mates, to judge the distance to potential competitors, and to detect predators and prey. We review how frequency is analyzed in the insect nervous system, focusing on two taxa in which this problem has been studied most intensively, katydids and crickets.
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