|Professor Paul Martin|
Associate Professor Ulrike Grunert
|Paul R Martin||BSc, PhD, Group Leader|
|Ulrike Grünert||Dipl Biol, PhD, Group Leader|
|Alexander Pietersen||Bsc, MSc, PhD, Postdoctoral Research Associate|
|Sammy Lee||Dipl Biol, PhD, Research Officer|
|Natalie Zeater||BSc (Hons), PhD candidate|
|Rania A. Masri||BSc(Hons), Research Assistant|
|William Dobbie||BSc(Hons), Programmer|
|Calvin Eiber||BSc, PhD, Postdoctoral Research Associate|
|Cindy Guy||Research Officer|
|Xin (Phillip) Cheng||BSc(Hons), Research Assistant|
|Ashleigh Chandra||Graduate Diploma candidate|
|Subha Nasir-Ahmad||Honours candidate|
|Abrar Rahman||Honours candidate|
Our research aims to better understand the way visual information is transferred from the eye to the brain in segregated pathways for colour, motion and shape. We know that the image captured by the eye is sent to the brain as a series of parallel “movies” but the way that nerve cells (neurons) in the eye are wired together to create these movies is poorly understood. By analyzing the wiring diagram of the normal eye, we gain knowledge that can be used in clinical practice and treatment of eye disease.
Analysis of nerve cell connections in Human Retina
In anatomical studies of the human eye we have developed reliable post mortem tissue preparation techniques for visualizing selected nerve cell populations in retina. We have been using these methods to identify and distinguish the components of day vision (photopic) and night vision (scotopic) pathways in human retina.
Studies of primitive visual pathways
In electrophysiological studies of the visual pathway in non-human primates we study the primitive "koniocellular" visual pathway and its relation to the well-understood parvocellular and magnocellular pathways. Our recent research indicates that koniocellular pathways form a subcortical site for low-acuity analysis of complex features of the visual world.
Complex systems analysis of Visual Evoked Potentials
In collaboration with the Complex Systems Physics Group at University of Sydney (Dr Pulin Gong) we are applying methods of turbulence physics to understand the "brain waves" that underlie diagnostic signals such as visual evoked potentials