Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Erica H. C. Bastiaanssen"'
Publikováno v:
Journal of Theoretical Biology 178 (1996) 2
Journal of Theoretical Biology, 178(2), 113-133
Journal of Theoretical Biology, 178(2), 113-133
A biomechanical model of the lower urinary tract which is able to respond to input signals from a neural network is presented. The neural input is the starting point in the description of the relationships between the various physical parameters in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::006022c1fa5f52279bd6d0f756e05847
https://doi.org/10.1006/jtbi.1996.0011
https://doi.org/10.1006/jtbi.1996.0011
Publikováno v:
Anatomy and Embryology, 192(3), 195-209. Springer
A new presentation technique is introduced to describe the neuronal circuitry involved in the control of the uropoetic system and its control mechanisms during the micturition cycle. This method is based on the preparation of flow charts and is appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4a70ed5e811de7ea3e50ae76472cbb6
https://research.tue.nl/en/publications/105897ce-e6ed-4cac-8fd2-3387ab15698c
https://research.tue.nl/en/publications/105897ce-e6ed-4cac-8fd2-3387ab15698c
Publikováno v:
Journal of Theoretical Biology, 180(3), 215-227
Journal of Theoretical Biology 180 (1996) 3
Journal of Theoretical Biology 180 (1996) 3
To study the control of the lower urinary tract, the state space of the myocybernetic model by Bastiaanssenet al.(1996) is analysed. This model is able to respond to input signals from a neural network and includes descriptions of the muscle dynamics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c26f0b77da4466dd4e75b7dc1211b83d
https://pubmed.ncbi.nlm.nih.gov/8759530
https://pubmed.ncbi.nlm.nih.gov/8759530
Publikováno v:
Proceedings of the International Joint Conference on Neural Networks. Publ by IEEE
Proceedings of the International Joint Conference on Neural Networks
Scopus-Elsevier
Proceedings of the International Joint Conference on Neural Networks
Scopus-Elsevier
In the research of neural network models for the control of the urinary bladder, a nested set of subsystems is suggested. The subsystems, represented as a set of layers in a neural network, can be trained separately on different optimization criteria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7d6a4df31b4351faf1aed39b67e1129
https://research.wur.nl/en/publications/nested-subsystems-in-a-control-model-for-the-urinary-bladder
https://research.wur.nl/en/publications/nested-subsystems-in-a-control-model-for-the-urinary-bladder
Publikováno v:
Neurourology and Urodynamics 12 (1993) 3
Neurourology and Urodynamics, 12(3), 285-288
Neurourology and Urodynamics, 12(3), 285-288
A continuous neural network coupled to a dynamical model of the urinary bladder is defined. The neural network is trained to control the bladder model to track a prescribed volume fluctuation, by adjusting weights and time constants. The gradients of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab1242112355c3275f1ba22bfcf05f52
https://pubmed.ncbi.nlm.nih.gov/8330053
https://pubmed.ncbi.nlm.nih.gov/8330053