Current Research

My main research interests involve the study of neural information processing, neural coding and information representation in biological systems. In particular I am interested in understanding information processing functions of neural ensemble activity and the biological mechanisms through which these functions are implemented. My current research concentrates on three basic aspects related to these issues: developing analytical tools and quantitative approaches to characterizing the neural representation of sensory stimuli; studying the statistical properties of natural sensory signals and their relations to biological sensory systems; and studying structure/function relations in biophysical models of neural systems.

I plan to pursue these topics in the future as well. There are two principal goals which will continue to drive my research: I) to deeply understand the principles by which biological sensory systems operate; and II) to transfer these principles to artificially created sensory systems.

Recent Publications

Dimitrov, Gedeon. Effects of stimulus transformations on characteristics of sensory neuron function. Journal of Computational Neuroscience, 20:265-283, 2006

Aldworth, Miller, Gedeon, Cummins, and Dimitrov. Dejittered Spike-Conditioned Stimulus Waveforms Yield Improved Estimates of Neuronal Feature Selectivity and Spike-Timing Precision of Sensory Interneurons. The Journal of Neuro- science, 25(22):5323-5332, 2005

Gedeon, Parker and Dimitrov. Information Distortion and Neural Coding. Canadian Mathematical Quarterly, 10(1), 33-70, 2003.

Dimitrov, Miller, Aldworth, Gedeon, Parker. Analysis of neural coding using quan- tization with an information-based distortion measure. Network: Computation in Neural Systems, 14(1), 151-176, 2003.

Dimitrov, Miller. Neural coding and decoding: communication channels and quan- tization. Network: Computation in Neural Systems, 12(4): 441-472, 2001.