Dan Bang

There are no current openings in the lab but I am open to supporting applications for independent funding - or hearing about future interests in joining the lab.

In the lab, we apply a multi-modal, cognitive neuroscience-based approach to understanding learning, decision-making and mental representation in humans. We combine behavioural experiments and computational modelling with electrochemical (dopamine, serotonin, noradrenaline) and electrophysiological (spiking activity, LFPs) recordings from deep brain structures in neurosurgical patients as well as functional neuroimaging (fMRI/MEG/EEG) and online data collection in healthy participants. These approaches allow us to characterise the cognitive processes that underpin behaviour and study their implementation in the brain – all the way from macro-scale changes in bulk neural activity to micro-scale changes in neuromodulator levels and single-neuronal activity. A guiding principle of this work is that neurobiologically-informed computational accounts of human cognition and behaviour are critical for accurate classification, prediction and treatment of neuropsychiatric disorders.

If you would like to learn more about our research, then I recommend watching the roundtable discussion with our collaborators Read Montague, Peter Dayan, Ken Kishida & Mike Friedlander (Nov 2023) or my talks on electrochemistry in the conscious human brain (June 2022) and private-public mappings in human prefrontal cortex (Aug 2019).