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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5
The Generation of Vestibular Nystagmus: A Neural Network Approach
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
ASCII Text
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Stefano Ramat, Giovanni Magenes, Roberto Schmid, Daniela Zambarbieri, "The Generation of Vestibular Nystagmus: A Neural Network Approach," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 5, pp. 5455, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000.
 
 
BibTex
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@article{ 10.1109/IJCNN.2000.861511,
author = {Stefano Ramat and Giovanni Magenes and Roberto Schmid and Daniela Zambarbieri},
title = {The Generation of Vestibular Nystagmus: A Neural Network Approach},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {5},
year = {2000},
issn = {1098-7576},
pages = {5455},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861511},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - The Generation of Vestibular Nystagmus: A Neural Network Approach
SN - 1098-7576
SP
EP
A1 - Stefano Ramat,
A1 - Giovanni Magenes,
A1 - Roberto Schmid,
A1 - Daniela Zambarbieri,
PY - 2000
VL - 5
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
Stefano Ramat, Universit? di Pavia
Giovanni Magenes, Universit? di Pavia
Roberto Schmid, Universit? di Pavia
Daniela Zambarbieri, Universit? di Pavia
This study investigates how the saccadic components (quick phases) of vestibular nystagmus are generated. We propose a neural network model for the vestibulo saccadic pathway, which shows dynamic adaptation of the quick phase parameters in order to faithfully reproduce the vestibular nystagmus. A structure similar to that proposed in this paper is likely to exist in the neural pathway linking the vestibular nuclei to the PPRF (paramedian pontine reticular formation) through the nucleus prepositus hypoglossi.
Citation:
Stefano Ramat, Giovanni Magenes, Roberto Schmid, Daniela Zambarbieri, "The Generation of Vestibular Nystagmus: A Neural Network Approach," ijcnn, vol. 5, pp.5455, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000
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