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Research papers using XNBC
In chronological order
- Vibert, J.-F., et N., Azmy, Simulation de la genese d’un rythme
biologique par des reseaux interconnectes Neural networks and their
applications. Edited by J. Hérault. EC2, Paris : 317-330 (1989)
- Azmy N, Vibert J-F. Neural network unit density : a critical biological
parameter. International Neural Network Conference 90. Paris, France,
9-13 juillet 1990. Kluwer Academic Publishers, CEC, INNS, IEEE, Boston,
2:933-36 (1990).
- Pakdaman K, Vibert J-F. Tonic and Phasic Overall Activities in
Biologically Plausible Excitatory Networks. I. E. E. E. E. M. B. S.
San-Diego, 145-146 (1993)
- Vibert J-F, Pakdaman K., Azmy N. Inter-neural delay modification
synchronizes biologically plausible neural networks. Neural Networks,
7: 589-607, (1994)
- Pakdaman K, Vibert J-F. Modeling Excitatory Networks Journal of
SICE, 34: 901-906 (1995)
- Vibert J-F, Pakdaman K., Boussard E., Av-Ron E. Computational neuroscience
and neurology Nature-Medecine, 1: 1247-1248 (1995)
- Pakdaman K., Vibert J-F, Boussard E., Azmy N. Single neuron with
recurrent excitation: Effect of the transmission delay. Neural Networks,
9: 797-818 (1996)
- Vibert J-F., Pakdaman K, Boussard E. Effects of transmission delays
and noise in recurrent excitatory neural networks. Biological Complexity.
E. Mizraji, L. Acerenza, F. Alvarez, A. Pomi Eds. DI. R. A. C, Facultad
de Ciencias, UdelaR, Montevideo. 97-110 (1997)
- Pakdaman K., Alvarez F., Diez-Martinez O., Vibert J-F. Single neuron
with recurrent connection: response to slow periodic modulation. BioSystems,
40: 133-140 (1997)
- Stiber M., Pakdaman K., Vibert J-F. Boussard E., Segundo J. P.,
Nomura T., Sato S. Doi S. Complex response of living neurons to pacemaker
inhibition: a comparison of dynamical models. BioSystems, 40: 177-188
(1997)
- Pham J., Pakdaman K., Champagnat J., Vibert J-F. Activity in Sparsely
Connected Excitatory Neural Networks: Effect of Connectivity. Neural
Networks. 11: 415-434 (1998)
- Pham J., Pakdaman K., Champagnat J., Vibert J-F. Activity in Sparsely
Connected Excitatory Neural Networks: Effect of Connectivity. Neural
Networks. 11: 415-434 (1998)
- Pham J., Pakdaman K, Vibert J-F. Noise-induced coherent oscillations
in randomly connected neural networks. Physical Review E, 58: 3610-3622
(1998)
- Vibert J-F, Alvarez F., Pham J. Effects of transmission delays and
noise in recurrent excitatory networks. BioSystems, 48: 255-262 (1998)
- Toubiana L., Vibert J-F. A neural network model for the spread
of communicable diseases. In: Gierl L., Cliff A.D., Valleron A.-J.,
Farrington P., Bull M. (Ed.) Proceedings of GEOMED’97. Tuber-Verlag
Ed, Berlin, 249-259 (1998)
- Alvarez F., Vibert J-F. Dynamics of a delayed self-exciting single
neuron model. Theory and Mathematics in Biology and Medicine. Vrije
Universiteit Press Amsterdam (Nederlands) 52 (1999)
- Vibert J-F., Kosmidis E. A model for rhythmogenesis and apneusis
based on sparsely connected excitatory neural networks. Theory and
Mathematics in Biology and Medicine. Vrije Universiteit Press Amsterdam
(Nederlands) 513-514 (1999)
- Kosmidis E., Vibert J-F A model of respiration rhythmogenesis bridging
network and pacemaker theories. Computation and Neural Systems 2000
(CNS*2000). Bruges, 16-20 july 2000, Belgique, 86 (2000)
- Alvarez F.,.Vibert J-F. Coding in recurrent excitatory networks.
Computation and Neural Systems 2000 (CNS*2000). Bruges, 16-20 july
2000, Belgique, 8 (2000)
- Kosmidis E., Vibert J-F Feed-Forward inhibition in the visual thalamus.
Computationnal Neuroscience Meeting (CNS*2001). Pacific Grove, June
30-July 5 2000, Ca USA, 67 (2001)
- Vibert J-F., Alvarez F., Self oscillatory dynamics in recurrent
excitatory networks. Computationnal Neuroscience Meeting (CNS*2001).
Pacific Grove, June 30-July 5 2000, Ca USA, 10 (2001)
- E.K. Kosmidis, Vibert J-F.. Amélioration de la résolution
spatiale et atténuation du bruit de l’information visuelle
au niveau thalamique. Neurosciences et Sciences de l’Ingénieur
(NSI 2000), Dinard, 11-14 septembre 2000 ; 49-52 (2000)
- Kosmidis EK., Vibert J-, A model of respiration rhythmogenesis
bridging network and pacemaker theories.Neurocomputing 38-40: 733-739
(2001)
- Vibert J-F, Kosmidis EK. Noise in neural networks generates and
secures the respiratory rhythm. A simulation study. European Journal
of Physiology. 442 (5) R97 (2001)
- Vibert J-F,. E.K. Kosmidis. Le bruit assure la permanence de la
respiration. Un modèle stochastique de la rythmogenèse
respiratoire. Neurosciences et Sciences de l’Ingénieur
(NSI 2002), Lalonde-les-Maures, 15-18 septembre 2002 ; CD-ROM (2002)
- Alvarez F., Vibert J-F. Self-oscillatory dynamics in recurrent excitatory
networks.. Neurocomputing 44-46: 257-262 (2002)
- Kosmidis EK., Vibert J-F, Feed-forward inhibition in the visual
thalamus. Neurocomputing 44-46: 479-487 (2002)
- Pakdaman K., Alvarez F., Segundo J.P., Diez-Martínez O.,
Vibert J.-F. Adaptation Prevents Discharge Saturation in Models of
Single Neurons with Recurrent Excitation. International Journal of
Modelling and Simulation 22 (4):260-269 (2002)
- Vibert J-F, E.K. Kosmidis. Un modèle de rythmogenèse
respiratoire jetant un pont entre les théories de réseau
et de pacemaker. In : Mécanismes et physiopathologie des fonctions
rythmiques. Y. Touitou Ed. Vernazobres-Gredo Publications, Paris (F)
85-92 (2003)
- Vibert J-F, E.K. Kosmidis. Noise in a randomly and sparsely connected
excitatory neural network generates the respiratory rhythm. Prc SPIE
5110: 201-223 (2003)
- Kosmidis E.K., Pierrefiche O, Vibert J-F.A computational model
explaining controversial results from in vitro and in vivo studies
od respiratory rhythm generation. IXth OXFORD Conference on Modeling
an Control of Breathing. Paris 2003. Proc 74.
- Kosmidis E.K., Pierrefiche O, Vibert J-F. Respiratory-like rhythmic
activity can be produced by an excitatory network of non-pacemaker
neuron models. J Neurophysiol. Aug;92(2):686-99 (2004)
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