About me
My research focusses on studying the dynamics of information processing in biological and bio-inspired complex systems and networks, using tools from information theory such as transfer entropy to reveal when and where in a complex system information is being stored, transferred and modified. My research has produced fundamental theoretical insights into the nature of information processing, including regarding the computational role of emergent coherent structures in complex systems. I use these tools to answer questions about the dynamics of information processing in a number of domains including computational neuroscience and collective animal behaviour. In a computational neuroscience setting, we have for example revealed directed information structure in the brain from neural recordings, and provided quantitative investigation of hypotheses regarding information flows in Autism Spectrum Disorder and predictive coding experiments. I am a founder and developer of the open-source JIDT toolbox for measuring the dynamics of complex systems using information theory, and the related IDTxl toolbox for inferring effective network structure in neural data.