Y. Z. Levy (2013). Multiscale Modeling of Human Addiction: a Computational Hypothesis for Allostasis and Healing. Open Access Dissertations. Paper 720.
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Peer-Reviewed Articles
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Y. Z. Levy, D. J. Levy, A. G. Barto, J. S. Meyer (2013). A computational hypothesis for allostasis: delineation of substance dependence, conventional therapies, and alternative treatments.Front. Psychiatry4:167. doi: 10.3389/fpsyt.2013.00167
Y. Z. Levy, D. Levy, J. S. Meyer (2011). Computational Hypothesis for Maturing Out of Addiction and Mindfulness-Based Cognitive Techniques.Proceedings of the Second Annual Meeting of the Biologically Inspired Cognitive Architectures Society (BICA 2011), Arlington, VA, November 2011.
Y. Z. Levy, D. Levy, J. S. Meyer, H. T. Siegelmann (2010). Identification and Control of Intrinsic Bias in a Multiscale Computational Model of Drug Addiction.Proceedings of the 2010 Symposium on Applied Computing (ACM SAC 2010), Sierre, Switzerland, March 2010.
Y. Z. Levy∗, D. Levy∗, J. S. Meyer, H. T. Siegelmann (2009). Drug Addiction: a Computational Multiscale Model Combining Neuropsychology, Cognition, and Behavior.Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2009), Porto, Portugal, January 2009.
∗ Authors with equal contributions --- article : [PDF] - (Oral presentation) Also appeared as: Technical Report UM-CS-2008-34, Department of Computer Science, UMass Amherst, September 2008.
Y. Z. Levy, D. Levy, J. S. Meyer, H. T. Siegelmann (2008). Drug Addiction as a Non-monotonic Process: a Multiscale Computational Model.Proceedings of the 13th International Conference on Biomedical Engineering (ICBME 2008), Singapore, December 2008.
Y. Z. Levy, D. Levy, J. S. Meyer, H. T. Siegelmann (2009). Ceasing the use of narcotics without treatments in the context of a multiscale computational model of addiction.6th annual meeting of the Society for Autonomous Neurodynamics: Principles of Autonomous Neurodynamics (SAND VI), La Jolla, CA, USA, July 2009.
Y. Z. Levy, D. Levy, J. S. Meyer, H. T. Siegelmann (2009). Neuropsychology, cognition, and behavior of drug addiction: A non-monotonic multiscale computational model.13th International Conference on Cognitive and Neural Systems (ICCNS 2009), Boston, MA, USA, May 2009.
Multiscale Modeling of Human Addiction: a Computational Approach to Predict Drug-Seeking Behavior, Ph.D. Dissertation Proposal, Department of Computer Science, UMass Amherst, May 2011
abstract : [PDF] complete document available upon request
Technical Report UM-CS-2010-015, Department of Computer Science, UMass Amherst, February 2010
UM-CS-2010-015 : [PDF]
Technical Report UM-CS-2009-002, Department of Computer Science, UMass Amherst, February 2009
Organizing and Scientific Committee at the 6th annual meeting of the Society for Autonomous Neurodynamics: Principles of Autonomous Neurodynamics (SAND VI), La Jolla, CA, USA (2009)
CS Candidate week-end Committee and Volunteer (2006-2008)
During my BSc degree I learned fundamentals concepts of computer science engineering: strong mathematical knowledge and foundation of hardware and software development.
During my MSc degree I focused my curriculum in computer science related to biology: Artificial Neural Network, Genetic Systems and Programming, Bio-inspired Adaptive Machines and Bioinformatics. I decided to concentrate my studies on the field of Computational Neuroscience and I joined the Laboratory of Neural Microcircuitry under the supervision of Prof. Henry Markram.
Complete CV available upon request. Partial CV available [@ LinkedIn].
Contact
School of Computer Science
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University of Massachusetts Amherst
Amherst, MA 01003-9264