Neural & machine learning group
[w/ Jeff Bowers]
My research is at the intersection of Psychology and Computational Neuroscience and focuses on biologically plausible models of cognition. Specifically, I am interested in how neural networks that take into account biological and psychological constraints could be implemented and used to learn and process information. One of the issues I am interested in is symbolic processing, which is believed to be indispensable for generalisation and thus cognition. This involves answering questions such as, what are symbols and how are they implemented and manipulated. Another, related issue, is the role of timing and synchronization in neuronal firing and its implications for computation in the brain. One possible question would be how can this be used to implement relational reasoning in tasks such as for example object recognition.