Computational Neuroscience - from Neuron to Behaviour
We also use computational neurosciences approaches such as mathematical modelling and machine learning in order to understand behaviour such as decision making, impulsivity, and action inhibition. We investigate those mechanisms in healthy populations, healthy elderly participants as well as patients with either dementia or parkinsonisms.
Researchers
Selected Publications
- Zhang, J., Rittman, T., Nombela, C., Fois, A., Coyle-Gilchrist, I., Barker, R. A., Hughes, L. E., & Rowe, J. B. (2016). Different decision deficits impair response inhibition in progressive supranuclear palsy and Parkinson's disease. Brain, 139(Pt 1), 161-173. doi:10.1093/brain/awv331 PMID: 26582559 PMC4949391
- Zhang, J., Nombela, C., Wolpe, N., Barker, R. A., & Rowe, J. B. (2016). Time on timing: Dissociating premature responding from interval sensitivity in Parkinson's disease. Mov Disord, 31(8), 1163-1172. doi:10.1002/mds.26631 PMID: 27091513 PMC4988382
