Mikel L. Forcada, Rafael C. Carrasco. Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models?. In Stefan Wermter, Jim Austin, David J. Willshaw, editors, Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing. Volume 2036 of Lecture Notes in Computer Science, pages 480-493, Springer, 2001. [doi]
@inproceedings{ForcadaC01,
title = {Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models?},
author = {Mikel L. Forcada and Rafael C. Carrasco},
year = {2001},
url = {http://link.springer.de/link/service/series/0558/bibs/2036/20360480.htm},
tags = {C++},
researchr = {https://researchr.org/publication/ForcadaC01},
cites = {0},
citedby = {0},
pages = {480-493},
booktitle = {Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing},
editor = {Stefan Wermter and Jim Austin and David J. Willshaw},
volume = {2036},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {3-540-42363-X},
}