Title :
The generation of vestibular nystagmus: a neural network approach
Author :
Ramat, Stefano ; Magenes, Giovanni ; Schmid, Roberto ; Zambarbieri, Daniela
Author_Institution :
Dipartimento di Inf. e Sistemistica, Pavia Univ., Italy
Abstract :
This study investigates how the saccadic components (quick phases) of vestibular nystagmus are generated. We propose a neural network model for the vestibule 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
Keywords :
biocontrol; neural nets; neurophysiology; physiological models; vision; PPRF; neural network; nucleus prepositus hypoglossi; paramedian pontine reticular formation; quick phases; saccadic components; vestibular nystagmus generation; vestibule saccadic pathway; Animals; Central nervous system; Electronic mail; Irrigation; Joining processes; Layout; Magnetic heads; Neural networks; Neural pathways; Neurons;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.861511