Background The life we see around us is a result of millions of years of evolution. Biological sensory systems such as olfaction and vision are at the very heart of this evolution. They have evolved to interpret our highly dynamic environment quickly, efficiently, and in a manner that maximises our chances of survival.
Mission I am interested in understanding the structural and functional properties of biological sensory systems which have made life possible. I want to leverage these insights to develop bio-inspired systems which will be intelligent, adaptive, and robust.
Research Interests Cortical representations of sensory experiences, Natural Statistics and the efficiency of cortical computations, ML/AI applied to biological data, Bio-inspired robotics/AI, Fusion of spiking architectures with traditional deep/shallow networks, Algorithm design for neuromorphic and event-based systems.
A rank-based, binocular spike-timing dependent plasticity (STDP) model.
A small and nifty Julia toolbox for colour vision.
An system for emacs configuration, from the ground up!
Just-noticeable differences (JNDs) for polychromatic skin and skinlike stimuli.
Decoding of multivariate time-series data (EEG, MEG, fMRI).