Qualifications & background
Ph.D. in Computer Science awarded December 2003
University of Manchester, Manchester, UK
Supervisor: Dr Magnus Rattray
Thesis title: "Statistical Dynamics of On-line Unsupervised Learning"
B.S./M.Sc. in Physics awarded August 1996
Belarusian State University, Minsk, Belarus
Supervisor: Professor Dr A. K. Gorbatsievich
Teaching interests
CTCN3311 Brain-inspired Cognitive Systems (11/2010)
CTCN5202 Neurobiology and Modeling of Vision (03/2009)
University of Plymouth, Plymouth, UK
Lectures for MSc students on computational models of the cortex.
Research interests
- Theoretical and Computational Neuroscience
- Large-Scale Computational Model of Brain
- Information Processing in the Cortex
- Complex Networks
- Statistical Mechanics of Unsupervised Learning
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COLAMN Project
As a part of COLAMN project (EPSRC grant EP/C010841/1), I have developed a detailed large-scale computational model of cat primary visual cortex. The model is constructed from currently available anatomical and physiological data and focused on investigating the influence of laminar architecture on the response properties of cortical cells such as orientation preference and direction selectivity. The model consists of the three major subsystems: retina, thalamus and cortical V1 structure. The V1 module is based on a restricted portion of cat striate cortex (area 17) and contains four layers (4, 2/3, 5 and 6). The model is written in parallel NEURON software and simulated on a Linux computer cluster, comprised of 20 dual-core dual-processor servers (equivalent to 80 CPUs) connected by a fast Myrinet interconnect.
Publications
G. Basalyga, P. M. Gleiser and T. Wennekers, "Emergence of small-world structure in networks of spiking neurons through STDP plasticity", In Hernandez, C., et al., editors, From Brains to Systems, volume 718 of Advances in Experimental Medicine and Biology, chapter 4, pp. 33-39, 2011.
G. Basalyga and T. Wennekers, "Phase-of-firing information coding in laminar cortical architecture". BMC Neuroscience, 12, Suppl 1: P369, 2011.
G. Basalyga and T. Wennekers, "Large-Scale Computational Model of Cat Primary Visual Cortex", BMC Neuroscience, 10, Suppl 1, P358, 2009.
G. Basalyga and E. Salinas, "When Response Variability Increases Neural Network Robustness to Synaptic Noise", Neural Computation, 18:6, pp. 1349-1379, 2006 (pre-print: q-bio.NC/0510036).
G. Basalyga and M. Rattray, "Statistical Dynamics of On-line Independent Component Analysis", Journal of Machine Learning Research, vol. 4, pp. 1393-1410, 2003 (pre-print: cond-mat/0309554).
G. Basalyga and M. Rattray, "Dynamics of ICA for High-dimensional Data", Artificial Neural Networks - ICANN 2002, LNCS 2415, edited by J.R. Dorronsoro,Springer-Verlag, Berlin Heidelberg, pp. 1112-1118, 2002.
M. Rattray and G. Basalyga, "Scaling Laws and Local Minima in Hebbian ICA", Advances in Neural Information Processing Systems 14, edited by T. G. Dietterich and S. Becker and Z. Ghahramani, MIT Press, Cambridge, MA, pp. 495-501, 2002.
G. Basalyga, "Statistical Dynamics of On-Line Unsupervised Learning", PhD thesis, University of Manchester, UK, 2003.
Search Gleb Basalyga's papers in PDF on Google Scholar
List of Gleb Basalyga's publications in BibTex format
Reports & invited lectures
Invited talk presented at the COLAMN 2010 workshop "From Cortical Microcircuits to Brain-Inspired Computing Hardware", Plymouth, UK.
Invited talk presented at the 16th Annual Meeting of the Cognitive Neuroscience Society (CNS*2009), Berlin, Germany.
Invited talk presented at the workshop "Complex Dynamics in Large-Scale Interacting Brain Systems: Towards Physical Models of Sleep and Consciousness" (CODYBS*2009), Dresden, Germany.
Poster presentation at the Society for Neuroscience 34th Annual Meeting (Neuroscience*2004), San Diego, CA, USA.
Spotlight poster presentation at the Neural Information Processing Systems (NIPS*2001), Vancouver, Canada.
Other academic activities
computational neuroscience, neural networks, large-scale parallel computer simulations, machine learning, data analysis, complex networks, complex systems.
Technical Skills
Unix/Linux, Matlab, Mathematica, parallel NEURON, NeuroConstruct, C, Python, HTML, NeuroML.
Links
Gleb Basalyga's profile at Academia.edu
