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My research interests are at the intersection of computational, theoretical and systems neuroscience. The computational/theoretical work builds on methods of communications/networking, information theory, machine learning, nonlinear dynamical systems, signal processing and systems identification. The experimental work employs methods of genetics, neurophysiology and systems biology.
In silico, my focus is on neural encoding in and systems identification of sensory systems, and, spike processing and neural computation in the cortex. In this work, I investigate rigorous methods of encoding information in the time domain, functional identification of spiking neural circuits as well as massively parallel neural computation algorithms in the spike domain. Furthermore, I am interested in genetic, structural, functional and plasticity principles of sensory systems in mammals and simple invertebrates.
In vivo, my focus is on the olfactory system of the Drosophila. My current work primarily addresses the nature of odor signal processing in the antennal lobe of the fruit fly.
Identifying Dendritic Processing
as author at Video Journal of Machine Learning Abstracts - Volume 1,