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Evyatar Av-Ron
Evyatar Av-Ron received his Ph.D. (Computer Science and Applied Mathematics) from the Weizmann Institute of Science (Israel) in 1992. His graduate studies were conducted with Dr. Lee Segel and Dr. Hanna Parnas (Hebrew University, Neurobiology) focusing on minimal biophysical neuron models for computer simulation of small neural networks (lobster/crab cardiac network). During his postdoctoral training at Ecole Normale Superieue (Paris, France) and French national institute of health (INSERM) he continued his research in computational neuroscience studying insect olfaction and the mammilian ocular vestibular system. From 1997 to 2001, he worked in the high-tech software industry, on an object-oriented database system, and a rule-based knowledge system. His M.Sc. from the Weizmann Institute (Israel) was in Artificial Intelligence.

SNNAP contribution:
Designed and wrote the SNNAP tutorial manual. This hands-on manual takes the user through several computational neuroscience examples, showing how non programmers can develop neural models and run simulations with SNNAP. The goal of the SNNAP team is to provide a user-friendly tool which may be used for both teaching computational neuroscience and carrying out computational neuroscience research .

Currently involved with the design of an object-oriented version of SNNAP.
 
Honors & Awards:
  • 1980 B.Sc. with Honors
  • 1992 CNRS Programme Cogniscience Postdoctoral Fellowship
  • 1994 INSERM Poste Vert Postdoctoral Fellowship
  • 1996 INRA Postdoctoral Traineeship
 
Publications:
  • Av-Ron, E., Baxter, D.A., Byrne, J.H. Simulation of Neural Networks and Action Potentials Tutorial Manual, 2003, http://snnap.uth.tmc.edu/tutorial.htm
     
  • Ke, C., Av-Ron, E., Albert, E. Business Rules Best Practices Require Appropriate Tools, OOPSLA 2000 Workshop, Best–practices in Business Rule Design and Implementation, http://www.mum.edu/cs_dept/aarsanjani/oopsla2000/BRulesRequireTools.html), 2000.
     
  • Av-Ron, E., Vidal, P-P. Intrinsic membrane properties and dynamics of medial vestibular neurons: A simulation. Biol Cybern, 80:383-392, 1999.
     
  • Av-Ron, E., Vidal, P-P. An investigation of tonic versus phasic firing behavior of medial vestibular neurons. In: Computational Neuroscience: Trends in Research, Bower, JM (ed), Kluwer academic publishers, Norwell Mass , pp. 41-46, 1997.
     
  • Vibert, J-F., Pakdaman, K., Boussard, E., Av-Ron, E. XNBC: A simulation tool. Application to the study of neural coding using hybrid networks, BioSystems, 40:211-218, 1997
     
  • Av-Ron, E., Rospars, J-P., Vibert, J-F. Modélisation de la désinhibition des neurones olfactifs déchargeant en bouffées chez les insectes. In NSI’96 Neurosciences et Sciences de l’Ingénieur. Actes: 65-68 (1996)
     
  • Av-Ron, E., Vibert, J-F. A model for temporal and intensity coding in insect olfaction by a network of inhibitory neurons. Biosystems, 39:241-250, 1996.
     
  • Av-Ron, E. Modeling a small neuronal network: the lobster cardiac ganglion. J Biol Sys, 3:1087-1104, 1995.
     
  • Av-Ron, E, Parnas, H, Segel, L.A. Modeling the bursting interneurons of the lobster cardiac ganglion. In The neurobiology of computation, Bower, J.M. (ed), Kluwer academic publishers, Norwell Mass, pp. 47-52, 1995.
     
  • Av-Ron, E, Rospars, J-P. Modeling insect olfactory neuron signaling by a network utilizing disinhibition. BioSystems 36:101-108, 1995.
     
  • Vibert, J-F., Boussard, E., Pakdaman, K., Av-Ron, E. Computational neuroscience: tools for studying the nervous system. In: Fogelman-Souli F, Gallinari P (eds) ICANN'95, Proceedings of the International Conference on Artificial Neural Networks, Session 5, Medicine, pp. 63-71, 1995.
     
  • Vibert, J-F., Pakdaman, K., Boussard, E., Av-Ron, E. Computational neuroscience and neurology. Nature-Medicine 1:1247-1248, 1995.
     
  • Av-Ron, E. Modeling olfactory neurons of the insect antennal lobe. Computation in neurons and neural systems, Eeckman, F.H. (ed), Kluwer academic publishers, Norwell Mass, pp. 173-178, 1994.
     
  • Av-Ron, E. The role of a transient potassium current in a bursting neuron model. J Math Biol, 33:71-87, 1994.
     
  • Av-Ron, E., Parnas, H., Segel, L.A. A basic biophysical model for bursting neurons. Biol Cybern, 69:87-95, 1993.
     
  • Av-Ron, E., Parnas, H., Segel, L.A. Modeling bursting neurons of the lobster cardiac network. In: Deneubourg, JL, Goss, S, Nicolis, G and Dagonnier, R. Proceedings of the Second European Conference on Artificial Life, ULB. Bruxelles, 1993.
     
  • Av-Ron, E., Parnas, H., Segel, L.A. A basic biophysical model for bursting neurons. Biol Cybern, 69:87-95, 1993.
     
  • Av-Ron, E., Parnas H., Segel, L.A. A minimal biophysical model for an excitable and oscillatory neuron. Biol Cybern, 65:487-500, 1991.
     
  • Taylor, S. Av-Ron, E., Shapiro, E. A layered method for process and code mapping. New Generation Computing 5:185-205, 1987.
     
  • Av-Ron E. Top-down diagnosis of Prolog programs. Weizmann Institute Department of Computer Science and Applied Mathematics, technical report, 1984.
     

Comments & questions to: Douglas.Baxter@uth.tmc.edu
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The Department of Neurobiology and Anatomy
The University of Texas Health Science Center at Houston
Last Modified: March 10, 2004