2017

• Tali Bitan, Alex Frid, Hananel Hazan, Larry Manevitz, Haim Shalelashvili & Yael Weiss. Classification from Generation: Recognizing Deep Grammatical Information during Reading from Rapid Event-Related fMRI. BISFAI 2017. Bar-Ilan University. (Presented by co-author).

2016

• Hazan Hananel, Ziv E Noam. Close Loop Experiments Manager (CLEM). ISFN 2016. The 25th ISFN Annual Meeting

2015

• Gal Sabina Star, Larry Manevitz, Hananel Hazan & Alex Frid. Machine Learning Techniques and the Existence of Variant Declarative Memory Systems in Humans. BISFAI 2015. Bar-Ilan University. (Presented by co-author).

2013

• Alex Frid, Hananel Hazan and Larry Manevitz. Temporal Pattern Recognition via Temporal Networks of Temporal Neurons. BISFAI 2013. Bar-Ilan University.

• Gal Sabina Star, Hananel Hazan and Larry Manevitz. Identifying Human Declarative Memory Systems via Machine Learning on Brain Activity Data Obtained during Memory Recall Tasks. BISFAI 2013. Bar-Ilan University. (Presented by co-author).

• Stav Hertz, Hananel Hazan and Larry Manevitz. Deep Learning for One-Class Classification of Cognitive Tasks from fMRI data. BISFAI 2013. Bar-Ilan University. (Presented by co-author).

• Hananel Hazan, Dan Hilu, Larry M. Manevitz, Shimon Sapir, Poster: Using Machine learning to Identify Patients with Parkinson Disease. BISFAI 2013. Bar-Ilan University. (presented by co-author).

• Alex Frid, Hananel Hazan, and Larry Manevitz, Towards classifying human phonemes without encodings via spatiotemporal liquid state.  International Conference on Cognitive and Neural Systems. Boston University. 2013.

• Hananel Hazan, Stav Hertz, and Larry Manevitz, Deep learning for one-class classification of cognitive tasks from fMRI data. International Conference on Cognitive and Neural Systems. Boston University. 2013.

2012

• Hananel Hazan, Dan Hilu, Larry M. Manevitz, Shimon Sapir, Poster: Using Machine learning to Identify Patients with Parkinson Disease.  IBM Machine Learning 2012 seminar.

• Hananel Hazan . Stability and topology in reservoir computing. University of Haifa, 2012, Computer Science Colloquium.

• Hananel Hazan and Larry M. Manevitz, Poster: Sliding Thresholds, STDP Learning Variants and Topological Choices Improve CONAS 2012 open workshop, March 29,30 Reservoir Computing Appropriate For Spatio-Temporal Pattern Recognition http://conas2012.elis.ugent.be/

• Hazan Hananel, Manevitz Larry.(2012) Topological Choices, Sliding Thresholds, and STDP Learning Variants Can Make Reservoir Computing Appropriate For Spatio-Temporal Pattern Recognition. IAAI 2012 Symposium.

• Zohar Eviatar, Hananel Hazan, Larry Manevitz, Orna Peleg and Rom Timor, Disambiguation during silent reading, IAAI 2012 Symposium.

2011

• Gilboa Asaf, Hazan Hananel, Koilis Ester, Manevitz Larry, Sharon Tali.(2011) Memory Encoding Classification with Machine Learning Techniques.International Joint Conference on Neural Networks (IJCNN-2011).poster.

2010

• Manevitz, L. Hazan,H. (2010). THE LIQUID STATE MACHINE IS NOT ROBUST TO PROBLEMS IN ITS COMPONENTS BUT TOPOLOGICAL CONSTRAINTS CAN RESTORE ROBUSTNESS. ICNC 2010 International Conference on Neural Computation

• Eviatar, Z., Hazan, H., Manevitz, L., Peleg, O., Rom, T. (2010) INTERACTIONS BETWEEN HEMISPHERES WHEN DISAMBIGUATING AMBIGUOUS HOMOGRAPH WORDS DURING SILENT READING. ICNC 2010 International Conference on Neural Computation.

2009

• Hananel Hazan and Larry Manevitz. (2009). The Liquid State Machine is Not Robust to Problems in its Components. Computational Cognitive Neuroscience Conference (CCNC).Poster.

• Rom Timor, Larry Manevitz, Hananel Hazan, Orna Peleg and Zohar Eviatar. (2009). The effect of inter-hemispheric connectivity when resolving ambiguities in reading. Computational Cognitive Neuroscience Conference (CCNC). Poster.

2007

• Peleg,O., Eviatar, Z., Hazan, H,& Manevitz, L. (2007). Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words. 2007CNS Annual meeting (Cognitive Neuroscience Society). New York.

• Peleg,O., Eviatar, Z., Hazan, H,& Manevitz, L. (2007). Differences and Interactions between Cerebral Hemispheres When Processing Ambiguous Homographs. IJCAI07 (International Joint Conference on Artificial Intelligence)-WAPCV (Workshop on Attention and Performance in Computational Vision). India.

• Peleg,O., Eviatar, Z., Manevitz, L., & Hazan, H. (2007). Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words.  IJCAI07 (International Joint Conference on Artificial Intelligence)-NeSy’07 (Neural-Symbolic Learning and Reasoning). India.

• Larry Manevitz and Hananel Hazan. (2007). History-Dependent Neurons and Identification of Temporal Sequences. BISFAI 2007. Bar-Ilan University.

• Orna Peleg, Zohar Eviatar, Larry M. Manevitz and Hananel Hazan. (2007). Differences and Interactions between Cerebral Hemispheres When Processing Ambiguous Homographs. BISFA 2007. Bar-Ilan University.

2006

• Peleg,O., Eviatar, Z., Manevitz, L., & Hazan, H. (2006). Two Hemispheres Two Networks: Access to the meaning of ambiguous words. Poster presented at the Annual Workshop on Brain and Language. Brain and Language: Theoretical and Clinical perspectives. Bar-Ilan University.

2005

• Peleg,O., Eviatar, Z., Manevitz, L., & Hazan, H. (2005). The Disambiguation of Heterophonic and Homophonic Homographs in Hebrew. BISFAI (Biennial Israeli Symposium on the Foundations of AI), University of Haifa-CRI.

• Peleg,O., Eviatar, Z., Manevitz, L., & Hazan, H. (2005). The Disambiguation of Heterophonic and Homophonic Homographs in Hebrew. ISCOL (Israeli Seminar on Computational Linguistics). Technion.