Iris Ginzburg: Publications
Journals
-
Zhang, K., Ginzburg, I., McNaughton, G. L., and Sejnowski, T. J., ,i>Interpreting neuronal population activity by reconstruction: Unified framework with application to hippocampal place cells<\i>, Journal of Neurophysiology, 79: 1017-1-44 (1998).
-
I. Ginzburg and H. Sompolinsky, Theory of Correlations in Stochastic
Neural Networks (1994) Phys. Rev. E. 50, 3171-3191.
![[VIEW ABSTRACT]](http://www.cnl.salk.edu/CNL/images/abstract.gif)
-
I. Ginzburg and D. Elad, Dynamic Model of the Bronchial
Tree (1993). Jou. of Biomed. Eng. 15, 283-288.
-
I. Ginzburg and D. Horn, Learning the Rule of a Time Series (1992)
Int. Jou. of Neural Systems 3, 167-177.
Conferences
-
I. Ginzburg and T. J. Sejnowski, Dynamics of Rule Induction by
Making Queries: Transition Between Strategies (1996)
Cognitive Science Conference.
![[VIEW ABSTRACT]](http://www.cnl.salk.edu/CNL/images/abstract.gif)
-
J.L. Gerrard, I. Ginzburg, C.A. Barnes, T. J. Sejnowski and
B. L. McNaughton, Accuracy of Hippocampal place Fields in
Predicting Location is Enhanced in the Presence of Theta Rhythm
(1995) Society for Neuroscience.
![[VIEW ABSTRACT]](http://www.cnl.salk.edu/CNL/images/abstract.gif)
-
I. Ginzburg and T. J. Sejnowski, Dynamics of Rule Induction by
Making Queries: Transition Between a Confirmation Strategy at Low
Confidence into a Diagnostic Strategy at High Confidence (1995)
J/DM Annual Meeting.
![[VIEW ABSTRACT]](http://www.cnl.salk.edu/CNL/images/abstract.gif)
-
I. Ginzburg, U. Naftaly, D. Horn, N. Intrator, Averaged and
Decorrelated Neural Networks as a Time Series Predictor (1994)
International Conference for Pattern Recognition, 12th ICPR.
-
I. Ginzburg, D. Horn, Combined Neural-Networks for Time
Series Analysis (1993).
Neural Information Processing Systems, NIPS*93.
-
I. Ginzburg, H. Sompolinsky, Correlation Functions in
a Large Stochastic Neural Network (1993). Neural Information
Processing Systems, NIPS*93.
-
I. Ginzburg, D. Horn, Combined Neural Networks for Time
Series Analysis (1992). The Int. Joint Conf. on Neural Networks.
-
I. Ginzburg, D. Elad and S. Einav, Analog Model of the
Bronchial Tree (1992). The International Congress of Theoretical
and Applied Mechanics, Israel.
-
I. Ginzburg, D. Horn, Learnability of Time Series (1991).
The Int. Joint Conf. on Neural Networks - Singapore.
Thesis
- I. Ginzburg, Various Aspects of Artificial and Biological Neural
Networks, Ph.D. dissertation, Tel-Aviv University 1994.
my home page