Gal Chechik
Affiliations: | Stanford University, Palo Alto, CA | ||
Gonda Brain Research Center | Bar-Ilan University, Jerusalem, Jerusalem District, Israel |
Area:
Computational NeuroscienceWebsite:
http://chechiklab.biu.ac.il/Google:
"Gal Chechik"Mean distance: 15.63 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentorIsrael Nelken | grad student | 1999-2003 | Hebrew University |
Naftali Tishby | grad student | 1998-2006 | Hebrew University |
Children
Sign in to add traineeOhad Felsenstein | grad student | The Gonda Brain Research Center, Bar Ilan University | |
Uri Shalit | grad student | 2009-2015 | Technion |
Noa Liscovitch | grad student | 2011-2015 | Bar-Ilan |
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Publications
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Kirsch L, Chechik G. (2016) On Expression Patterns and Developmental Origin of Human Brain Regions. Plos Computational Biology. 12: e1005064 |
Bar-Shira O, Maor R, Chechik G. (2015) Gene Expression Switching of Receptor Subunits in Human Brain Development. Plos Computational Biology. 11: e1004559 |
Liscovitch N, Bazak L, Levanon EY, et al. (2014) Positive correlation between ADAR expression and its targets suggests a complex regulation mediated by RNA editing in the human brain. Rna Biology. 11: 1447-56 |
Shoval G, Bar-Shira O, Zalsman G, et al. (2014) Transitions in the transcriptome of the serotonergic and dopaminergic systems in the human brain during adolescence. European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology. 24: 1123-32 |
Mesnil G, Bordes A, Weston J, et al. (2014) Learning semantic representations of objects and their parts Machine Learning. 94: 281-301 |
Liscovitch N, Chechik G. (2013) Specialization of gene expression during mouse brain development. Plos Computational Biology. 9: e1003185 |
Liscovitch N, Shalit U, Chechik G. (2013) FuncISH: learning a functional representation of neural ISH images. Bioinformatics (Oxford, England). 29: i36-43 |
Kirsch L, Liscovitch N, Chechik G. (2012) Localizing genes to cerebellar layers by classifying ISH images. Plos Computational Biology. 8: e1002790 |
Chechik G, Nelken I. (2012) Auditory abstraction from spectro-temporal features to coding auditory entities. Proceedings of the National Academy of Sciences of the United States of America. 109: 18968-73 |
Lyon RF, Rehn M, Bengio S, et al. (2010) Sound retrieval and ranking using sparse auditory representations. Neural Computation. 22: 2390-416 |