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 the environment in a manner that maximises survival. I am interested in the structural and functional properties of biological sensory systems which make this possible.

My work combines psychophysics and imaging with computational approaches such as machine learning, deep and spiking neural networks, and the use of novel, event-based hardware. Currently, I am investigating:

  1. Early cortical representations of the human binocular and colour experiences.
  2. Efficiency and optimality of computations in early sensory cortices.
  3. Fusion of spiking architectures and traditional deep networks.
  4. Bio-inspired pipelines which interface spike-based models with event-based cameras and neuromorphic computational hardware.
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