neuroscience

We propose a new hypothesis for how insects process polarised skylight to extract global orientation information that can be used for accurate path integration. Our model solves the problem of solar-antisolar meridian ambiguity by using a biologically constrained sensor array, and includes methods to deal with tilt and time, providing a complete insect celestial compass output. We analyse the performance of the model using a realistic sky simulation and various forms of disturbances, and compare the results to both engineering approaches and biological data.

Thesis - Doctor of Philosophy. I inversigated how insects form associative memories in their mushroom bodies and how this impacts their olfactory learning, visual navigation, and time-delayed reinforcements tasks.

We develop a new foundation for understanding natural learning by developing a complete multilevel model of learning in larvae