My name is Peter Stratton. I’m a research scientist at the Queensland Brain Institute in Australia.
My research is in computational neuroscience, which means that I study the brain using many different methods to figure out the underlying principles that it uses to do all that it does.
And what the brain does is quite amazing. Everything we think, everything we do, in fact everything that we are, comes from our brains.
This is great when they work well, but when they don’t the consequences for affected people can be drastic. One reason to study the brain is to help fix it when it goes wrong.
Another reason is to be able to build smarter computers (and robots) that work more like the brain. The brain can do so much more than our current computers, but no-one fully understands how.
The quest to build computers that are as smart as our brains (that is, artificial intelligence or AI) is what this website is all about.
Peter Stratton obtained his PhD from the University of Queensland in Australia in 2002. After several years working in the software industry in Australia and the USA, in early 2007 he joined the Thinking Systems project at UQ. His role was to understand and construct models of the computational principles that are implemented by nervous systems, and apply these models to complex engineering problems in robotics and information processing. In late 2011 he joined the Queensland Brain Institute, where he has been analysing micro-electrode recording data from patients undergoing electrode implantation for deep brain stimulation for the treatment of brain disorders. The primary goals of these analyses are to characterise human brain activity and to assist in the targeting of the electrodes for optimal clinical outcome. He also provides custom-written computer software and analysis tools for other experimental data collected by the lab. Career highlights include a journal paper published in Nature Neuroscience on Deep Brain Stimulation, a paper published in PLoS ONE on a digital wireless brain recording system, a paper published in NeuroImage on how the brain may generate complex activity for complex computations, several papers on using artificial neural networks to control robots, selection to attend the Neuromorphic Engineering Workshop (Australia), and invited talks as a guest speaker to the Salk Institute (USA), the International Seizure Prediction Workshop (Germany), and Brain Corporation (USA).