Gal Chechik
Full list of Publications

		Journal Papers
		G. Chechik, M. Anderson, O. Bar-Yosef, E. Young, N. Tishby and I. Nelken, Transformations of stimulus representations in the Ascending Auditory Pathway Neuron. In Press.
		Sean O'Rourke, Gal Chechik, Robin Friedman, and Eleazar Eskin Discrete profile alignment via information bottleneck. BMC bioinformatics, 7(Suppl1):S8, Feb 2006, p. 1-11.		pdf
		I Nelken, G. Chechik, T.D. Mrsic Flogel A.J. King and J.W.H. Schupp Encoding stimulus information by spike numbers and mean response time in primary auditory cortex. J. Computational Neuroscience 19(2):199-221, 2005		html
		Gal Chechik, Amir globerson, Naftali Tishby and Yair Weiss Information Bottleneck for Gaussian variables. J. Machine Learning Research 6(Jan) p.165-188, 2005		ps | pdf
		I. Solomon, N. Marashak, G. Chechik, L. Leibovici, A. Lubetsky, , H. Halkin, D. Ezra and N. Ash Applying an artificial neural network to warfarin maintenance does prediction,. Isr. Med. Assoc. J., 6(12): 732-735, 2004
		Gal Chechik Spike timing dependent plasticity and relevant information maximization. Neural Computation 15(7) p.1481-1510, 2003		ps | pdf full-text
		Gal Chechik, Isaac Meilijson, and Eytan Ruppin. Effective Learning with Ineffective Hebbian Learning Rules. Neural Computation 13(4) p.817-840, 2001		ps | pdf full-text
		G. Chechik, I. Meilijson, E. Ruppin Spike time dependent plasiticty and mutual information maximiza tion,. Neurocomputing, 38: 147-152, 2001		ps| pdf
		Gal Chechik, Isaac Meilijson, and Eytan Ruppin. Neuronal normalization provides effective learning through ineffecive learning rules. Neurocomputing 32:345-351, 2000		html
		Gal Chechik, Isaac Meilijson, and Eytan Ruppin. Neuronal Regulation: A Mechanism for Efficient Synaptic Pruning During Brain Maturation. Neural Computation 11(8) p. 2151-2170. 1999		ps | pdf full-text
		G. Chechik, I. Meilijson, E. Ruppin Neuronal regulation: A biologically plausible mechanism for eff icient syanptic prunning in development. Neurocomputing, 26-27: 633-639, 1999		ps| pdf
		Gal Chechik, Isaac Meilijson, and Eytan Ruppin. Synaptic pruning in development: a computational account. Neural Computation 10(7) p.1759-1777, 1998		ps | pdf full-text

		Reviewed Conference Papers
		Amir globerson, Gal Chechik, Fernando Pereira and Naftali Tishby Euclidean Embedding of Co-occurrence Data. NIPS 2004 p. 497-504. Outstanding student paper award		ps | pdf code data
		Amir globerson, Gal Chechik, Fernando Pereira and Naftali Tishby Euclidean Embedding of Co-occurrence Data. AAAI 2006, Nectar Track, Submitted		ps | pdf code data
		Gal Chechik, Aviv Regev and Daphne Koller Filling missing enzymes in metabolic pathways using heterogeneous data. NIPS Computational Biology workshop
		Gal Chechik, Eran Segal and Daphne Koller Modeling temporal response profiles of gene expression. Submitted
		Gal Chechik, Omer Bar-Yosef, Mike anderson, Eric Young, Naftali Tishby, Israel Nelken Changes in Stimulus representations in the ascending auditory pathway. COSYNE 2005
		Haidong Wang, Gal Chechik, Ben Taskar and Daphne Koller Predicting Protein-Protein Interaction Sites from Sequence Data. Submitted
		Sean O'Rourke, Gal Chechik, Robin Friedman and Eleazar Eskin, Discrete profile alignment via information bottleneck. NIPS 2004		ps | pdf
		Koby Crammer and Gal Chechik, A needle in a haystack: Local one class optimization. International conference in machine learning, Banff Canada ICML 2004		ps | pdf talk-ppt
		Gal Chechik, Amir globerson, Naftali Tishby and Yair Weiss Information Bottleneck for Gaussian Variables. Advances in Neural Information Processing Systems-16, Vancouver Canada, NIPS 2003		ps | pdf talk-ppt talk-pdf
		Amir globerson, Gal Chechik and Naftali Tishby Extracting continuous relevant features. in: Daniel Baier and Klaus-Dieter Wernecke (eds.): Innovations in Classification, Data Science, and Information Systems. Proc. 27th Annual GfKl Conference, University of Cottbus, Germany 2003. Springer-Verlag, Heidelberg-Berlin, 224-238, 2004.
		Amir globerson, Gal Chechik and Naftali Tishby Sufficient Dimensionality reduction with irelevance statistics. Uncertainty in artificial inteligence, Acapulco Mexico. (UAI 2003)		ps | pdf
		Hezi Avraham, Gal Chechik and Eytan Ruppin Are there representations in evolved embodied agents? Taking measures. European conference on artificial life, (ECAL 2003)		ps | pdf
		Gal Chechik and Naftali Tishby Extracting relevant structures with side information. Advances in Neural Information Processing Systems-15, Vancouver Canada, NIPS 2002		ps | pdf short ver talk-ppt code
		Gal Chechik, Amir Globerson, Mike J. Anderson, Eric D. Young, Israel Nelken and Naftali Tishby, Groups redundancy measures reveal redundancy reduction along the auditory pathway. Advances in Neural Information Processing Systems-14, Vancouver Canada, (NIPS 2001)		ps | pdf
		Gal Chechik and Naftali Tishby Spike time dependant plasticity and mutual information Advances in Neural Information Processing Systems 13, Vancouver Canada, (NIPS 2000)		ps | pdf
		Gal Chechik Temporal dependant plasticity maximizes mutual information in a spiking neural network Ninth Annual Computational Neuroscience Meeting, Bruge Belgium (CNS 2000)		ps | pdf
		Gal Chechik, Isaac Meilijson and Eytan Ruppin. Effective learning requires synaptic remodeling at the neuronal level. Advances in Neural Information Processing Systems 12 (NIPS 1999)		ps | pdf
		Gal Chechik, Isaac Meilijson and Eytan Ruppin Neuronal normalization provides effective learning through ineffective synaptic learning rules. Eighth Computational Neuroscience meeting, Pittsburgh, Pennsylvania. (CNS 1999)		ps | pdf
		Gal Chechik, Isaac Meilijson and Eytan Ruppin Neuronal Regulation Implements Efficient Synaptic Pruning. Advances in Neural Information Processing Systems 11. (NIPS 1998)		ps | pdf
		Gal Chechik, Isaac Meilijson and Eytan Ruppin Efficient Synaptic Pruning with Neuronal Regulation. Seventh Annual Computational Neuroscience Meeting, Santa Barbara, CA. (CNS 1998)		ps
		Gal Chechik, Isaac Meilijson and Eytan Ruppin Synaptic Pruning : A Novel Account in Neural Terms. Sixth Annual Computational Neuroscience Meeting, Big-Ski Montana (CNS 1997)		ps

		Books
		Gal Chechik, Lidror Troyanski and Naftali Tishby Information Computation and Learning. (Hebrew) Hebrew University Press, 2003

		Book Chapters
		Gal Chechik, David Horn and Eytan Ruppin Neuronal regulation and synaptic normalization. In M. Arbib editor, The handbook of Brain Theory and Neural networks. 2nd edition. MIT Press 2002
		I Nelken, N. Ulanovsky, L. Las, O. Bar-Yosef, M. Anderson, G. Chechik, N. Tishby and E.D. Young. Transformations of stimulus representations in the ascending auditory system. In: Auditory signal processing: physiology psychoacoustics and models, Eds. D. Pressnitzer A. de Cheveigne S. McAdams and L. Collet. Springer New York 223-229. 2004,

		PhD Thesis
		Gal Chechik, Information theoretic approach to the study of auditory coding (122 pages)		ps | pdf
		Individual chapters Abstract Introduction Extracting information from spike trains Quantifying coding interactions Redundancy reduction in the auditory pathway Extracting relevant structures Summary Appendices

		Technical reports
		Gal Chechik Types, Super types, and the mutual information distribution. Technical Report of the Leibniz Center, The Hebrew university. 2002-61

		Conference Abstracts
		Gal Chechik, A. Regev, D. Koller Filling missing components in yeast metabolic pathways using heterogeneous data. Computational biology workshop at NIPS 2005, Vancouver CA.
		Sean O'Rourke, Gal Chechik and Eleazar Eskin Separation of overlapping subpopulations by mutual information. Computational biology workshop at NIPS 2005, Vancouver CA.
		Gal Chechik, A. Regev, D. Koller Filling missing components in yeast metabolic pathways using heterogeneous data. 7th BioPathways Meeting at ISMB 2005. Detroit, 2005.
		Gal Chechik Information and redundancy in the auditory system. NIPS workshop on Estimation of entropy and information of undersampled distibutions: Theory and Applications to the neural code. Organized by I. Nemenman and W. Bialek, Whistler Canada 2003.		talk-pdf
		Gal Chechik, Israel Nelken and Naftali Tishby Extracting relevant structures using side information. NATO advanced study institute, learning theory and practice, Leuven Belgium 2002.
		G. Chechik, M. Anderson, E.D. Young, N. Tishby and I. Nelken, Redundancy reduction along the ascending auditory pathway. Society For Neuroscience meeting, San Diego CA 2001.
		G. Chechik, N. Tishby, Spike time dependant plasticity and mutual information. The 9th Annual Meeting of Israeli neuroscience society, Eilat, Israel. 2000.
		G. Chechik, I. Meilijson and E. Ruppin, Effective learning requires neuronal remodeling of Hebbian synapses. Neural Computation in Science and Technology (NCST-99). Maale Hachamisha, Israel 1999.
		G. Chechik, I. Meilijson and E. Ruppin, Robust Associative Memory with Asymmetric Synaptic Learning Rules. The 8th Annual Meeting of Israeli neuroscience society Eilat, Israel (1999).
		G. Chechik, I. Meilijson and E. Ruppin, Enforcing Effective Synaptic Learning via a Neuronal Mechanism. NeuroScience letters. Supl 51. Proceedings of the 7th annual meeting of the Israeli Neuroscience Society. (1998).
		G. Chechik, I. Meilijson and E. Ruppin, Neuronal Regulation: A Mechanism For Efficient Synaptic Pruning During Brain Maturation. NeuroScience letters. Supl 51. Proceedings of the 7th annual meeting of the Israeli Neuroscience Society. (1998).