Dr. Andrei V. Olifer
Associate Professor of MathematicsDownload vCard
Dr. Andrei V. Olifer believes that understanding the brain is one of the greatest scientific puzzles, and mathematical modeling is essential in solving this puzzle. He got his bachelor's degree in applied mathematics and Ph.D. in applied mathematics and mathematical physics in Russia. In his early career, he held visiting research positions in Pushchino (Russian Academy of Sciences), Budapest (Hungarian Academy of Sciences) and Paris (Pasteur Institute). From 2000 to 2004 he worked on mathematical modeling of hippocampal neurons in the Czech Academy of Sciences in Prague. From 2004 to 2011, Olifer held a research position at Emory University, Atlanta. At Emory, he learned how to record neuronal activity and process raw experimental data. He also taught several classes including the course “Mathematical Concepts in the Neurosciences” that he developed himself. The work on that course was funded by a Howard Hughes Medical Institute grant.
In 2011, Olifer joined Georgia Gwinnett College faculty. In the classroom, he tries to show students the essence, practical utility, and beauty of mathematics. Olifer helps students develop active learning skills. He is certain that active learning, driven by the student’s own curiosity, is the best way to learn. Olifer regularly offers projects for undergraduate research.
- Doctorate – applied mathematics and mathematical physics – Rostov State University (now Southern Federal University), Russia
- Bachelor's – applied mathematics – Rostov State University (now Southern Federal University), Russia
- Mathematical models of learning
- Kolmogorov (a.k.a. algorithmic) complexity
- Mathematical models of Internet communities
- Teaching mathematics
- Olifer A (2018) A model of a network community with a decentralized reputation-based peer control of information. Accepted to Communications in Applied Analysis.
- Shishkin D, Olifer A (2017) Point elasticity versus arc elasticity: on different approaches to teaching elasticity in principles courses. Journal of Economics and Economic Education Research. 18(2): 1-7.
- Olypher AV, Vaillant J. (2016) On the Properties of Input-To-Output Transformations in Neuronal Networks. Mathematical Biosciences and Engineering. 13(3): 579-596.
- Olypher AV. Neuronal Parameter Sensitivity. In: Jaeger D., Jung R. (Ed.) Encyclopedia of Computational Neuroscience: SpringerReference (www.springerreference.com). Springer-Verlag Berlin Heidelberg, 2013.
- Olypher AV, Lytton WW, Prinz AA (2012) Input-to-output transformation in a model of the rat hippocampal CA1 network. Frontiers in Computational Neuroscience, 6(57): 1-8.
- Duffus D, Olifer A (2010) Introductory Life Science Mathematics and Quantitative Neuroscience Courses. CBE—Life Sciences Education, 9: 370–377.
- Olypher AV, Prinz AA (2010) Geometry and dynamics of activity-dependent homeostatic regulation in neurons. Journal of Computational Neuroscience, 28(3): 361-374.
- Fenton AA, Lytton WW, Barry J, Lenck-Santini P-P, Zinyuk LE, Kubik Š, Bureš J, Poucet B, Muller RU, Olypher AV (2009) Attention-like modulation of hippocampal place cell discharge. Journal of Neuroscience, 30: 4613-4625.
- Olypher AV, Calabrese RL (2009) How Does Maintenance of Network Activity Depend on Endogenous Dynamics of Isolated Neurons? Neural Computation, 21(6): 1665-1682.
- Fenton AA, Kao H-Y, Neymotin S, Olypher AV, Vayntrub Y, Lytton W, Ludvig N (2008) Unmasking the CA1 ensemble place code by exposures to small and large environments: more place cells and multiple, irregularly-arranged, and expanded place fields in the larger space. Journal of Neuroscience, 28:11250-11262.
- Olypher AV, Calabrese RL (2007) Using constraints on neuronal activity to reveal compensatory changes in neuronal parameters. Journal of Neurophysiology, 98: 3749-3758.
- Olypher AV, Cymbalyuk GS, Calabrese RL (2006) Hybrid system analysis of the control of burst duration by low-voltage-activated calcium current in leech heart interneurons. Journal of Neurophysiology, 96: 2857-2867.
- Olypher AV, Klement D, Fenton AA. (2006) Cognitive disorganization in hippocampus: a physiological model of the disorganization in psychosis. Journal of Neuroscience, 26:158-168.
- Olypher AV, Lánský P, Muller RU, Fenton AA (2003) Quantifying location-specific information in the discharge of rat hippocampal place cells. Journal of Neuroscience Methods, 127: 123-135.
- Olypher AV, Lánský P, Fenton AA (2002) Properties of the extra-positional signal in hippocampal place cell discharge derived from the overdispersion in location-specific firing. Neuroscience, 111: 553-566.
- Olypher AV, Lánský P, Fenton AA (2002) On the location-specific positional and extra-positional information in the discharge of rat hippocampal cells. BioSystems, 67:167-175.