Research interests

My research interests are in the fields of computational neuroscience and neural engineering. In particular, I enjoy hypothesis driven research that builds a link between neural activity across scales and cognition. I am using mathematical modeling, computer simulations and data analysis to construct and test various hypotheses. Ultimately, I hope my research will contribute to the development of human-inspired artificial intelligence and intelligent neuroprosthetics.

Publications

  • Articles

    • Z. Tiganj, M. Hasselmo, and M. Howard. Computational model for exponentially decaying persistent firing. Submitted. Click here for PDF.

    • M. Howard, C. MacDonald, Z. Tiganj, K. Shankar, Q. Du, M. Hasselmo and H. Eichenbaum. A unified mathematical framework for coding time, space, and sequences in the hippocampal region. Journal of Neuroscience, Volume 34, Number 13, Pages 4692-4707, 2014. Click here for PDF.

    • Z. Tiganj, S. Chevallier and Eric Monacelli. Influence of extracellular oscillations on neural communication: a computational perspective. Frontiers in Computational Neuroscience, Volume. 8, 2014. Click here for PDF.

    • Z. Tiganj, M. Mboup, S. Chevallier and E. Kalunga. Online frequency band estimation and change-point detection. International Conference on Systems and Computer Science, Pages: 1-6, 2012. Click here for PDF.

    • Z. Tiganj and M. Mboup. Neural spike sorting using iterative ICA and deflation based approach. Journal of Neural Engineering, Volume 9, Number 6, Pages 066002, 2012. Click here for PDF.

    • Z. Tiganj and M. Mboup. Deflation technique for neural spike sorting in multi-channel recordings. IEEE International Workshop on Machine learning for signal processing, Pages: 1-6, 2011. Click here for PDF.

    • Z. Tiganj and M. Mboup. A non-parametric method for automatic neural spikes clustering based on the non-uniform distribution of the data. Journal of Neural Engineering, Volume 8, Number 6, Pages 066014, 2011. Click here for PDF.

    • Z. Tiganj, M. Mboup, C. Pouzat and L. Belkoura. An Algebraic Method for Eye Blink Artifacts Detection in Single Channel EEG Recordings. International converence on Biomagnetism, IFMBE Proceedings, Volume 28, Part 6, Pages 175-178, 2010. Click here for PDF.

    • Z. Tiganj and M. Mboup. Spike Detection and Sorting: Combining Algebraic Differentiations with ICA. Independent Component Analysis and signal separation, Lecture Notes in Computer Science, Volume 5441, Pages 475-482, 2009. Click here for PDF.

  • Conference abstracts

    • Z. Tiganj, S. Nakamura, I. Singh, M. Howard Does a slowly-changing representation of what and when exist in multiple brain regions? Cognitive Neuroscience (CNS) meeting, Boston, US, 2014.

    • Z. Tiganj, K. Shankar and M. Howard. Computational model of exponentially decaying persistent firing for encoding stimulus history. SFN meeting, San Diego, US, 2013.

    • Z. Tiganj, K. Shankar and M. Howard. Encoding the Laplace transform of stimulus history using mechanisms for persistent firing. BMC Neuroscience, Volume 14(Suppl 1), Page 356, 2013; Computational Neuroscience (CNS) conference, Paris, France, 2013. Click here for PDF.

    • Z. Tiganj, K. Shankar and M. Howard. Computational model of decaying persistent firing for encoding stimulus history. Context and Episodic Memory Symposium (CEMS), Philadelphia, US, 2013.

    • Z. Tiganj, S. Chevallier and E. Monacelli. On the role of extracellular oscillations for efficient neural synchronization. Forum of Neuroscience (FENS), Barcelona, Spain, 2012.

    • Z. Tiganj, M. Mboup and C. Pouzat. Eye blink artifacts detection in single channel EEG recordings. Consciousness and its Measures Workshop, Limassol, Cyprus, 2009.
Zoran Tiganj

Contact information

Address:
Theoretical Cognitive Neuroscience Lab
Center for Memory and Brain
2 Cummington Mall
Boston University
Boston, MA 02215
E-Mail: zoran (dot) tiganj (at ) gmail (dot) com
Web: http://people.bu.edu/zorant, www.zoran.info
Phone: (1) 857 241 7430