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Circuits et systemes de modelisation analogique de neurones ...

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Références bibliographiques.[OHSAKI 94] OHSAKI Katsuhiko, ASAMOTO Noriaki, TAKAGAKI Shunichi. A singlepoly EEPROM cell structure for use in standard CMOS processes. IEEE journal ofsolid-state circuits, 1994. Vol 29, n°3. p 311-316.[PARK 98] PARK Young-Bog, SCHRODER Di<strong>et</strong>er K. Degradation of thin tunnel gateoxi<strong>de</strong> un<strong>de</strong>r constant stress for a flash eeprom. IEEE transactions on electron <strong>de</strong>vices,1998. Vol 45, n°6. p 1361-1368.[PATEL 97] PATEL G N, DEWEERTH Stephen P. Analogue VLSI Morris-Lecar neuron.Electronics l<strong>et</strong>ters, 1997. Vol 33, n°12. p 997-998.[PAVASOVIC 94] PAVASOVIC A, ANDREOU A. G, WESTGATE C. R.Characterization of Subthreshold MOS Mismatch in Transistors for VLSI Systems.Analog Integrated <strong>Circuits</strong> and Signal Processing, 1994. p 75-85.[PEASE 93] PEASE Robert A. Troubleshooting analog circuits. Boston : Butterwoth-Heinemann, 1993. 217p. ISBN 0-7506-9499-8.[POTTER 97] POTTER S M, FRASER S E, PINE J. Animat in a P<strong>et</strong>ri Dish: CulturedNeural N<strong>et</strong>works for Studying Neural Computation. Proc. 4th Joint Symposium onNeural Computation, 1997. p167-174.[PRINCE 91] PRINCE B<strong>et</strong>ty. Semiconductor memories – 2nd edition . Chichester : JohnWiley & sons, 1991. 802p. ISBN 0-471-92465-2.[QUB] The QuB Suite : Single Channel Kin<strong>et</strong>ic Analysis Ma<strong>de</strong> Easy. Tutorial 1999http://www.qub.buffalo.edu.[RENAUD-LE MASSON 93] RENAUD-LE MASSON S, LE MASSON G, MARDER E,ABBOTT LF. Hybrid circuits of interacting computer mo<strong>de</strong>l and biological neurons.Neural Information Processing Systems 5, San Mateo, California, Morgan KaufmannPublishers, 1993. p813-819.[RIEKE 96] RIEKE Fred, WARLAND David, VAN STEVENINCK Rob De Ruyter,BIALEK William. Spikes : Exploring the Neural Co<strong>de</strong>. MIT press, 1996. 395 p.Computational Neuroscience Series. ISBN 0262181746.[ROSSETO 91] ROSSETTO Olivier. Un système intégré neuromimétique <strong>analogique</strong>modulaire. Thèse en électronique : Institut national polytechnique <strong>de</strong> Grenoble, 1991.[SALEFRAN 98] SALEFRAN Marie-Nathalie. Gestion <strong>de</strong>s paramètres d'un ASIC<strong>analogique</strong> modélisant un neurone biologique. Rapport <strong>de</strong> DEA <strong>de</strong> microélectronique,Université <strong>de</strong> Bor<strong>de</strong>aux 1, 1998.205

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