Diploma (Hons), PhD
Sir Henry Wellcome Postdoctoral Fellow
I investigate the brain mechanisms that enable rapid adaptation to novel tasks. Humans are very proficient at solving novel problems, due to their capacity to generalise prior knowledge from related past experience. For instance, when traveling abroad, we can quickly work out how to use an unknown train ticket machine. This ability to transfer knowledge flexibly between tasks is a key building block of adaptive behaviour, and also presents an unsolved problem for current forms of artificial intelligence.
I want to understand the brain mechanisms that allow humans to form these flexible mental programs that can be redeployed under different circumstances. By combining different brain recording techniques with pattern classification methods, and computational models, I characterise the representations that form as humans learn to perform novel categorisation tasks.
This work aims to reveal fundamental biological mechanisms that underpin goal-directed behaviour in complex, open-ended environments. In the long run, it also aims to provide new insights that could be of help in building more intelligent machines.
Complementary Brain Signals for Categorical Decisions.
Muhle-Karbe PS. and Flesch T., (2020), J Neurosci, 40, 5706 - 5708
Reward Boosts Neural Coding of Task Rules to Optimize Cognitive Flexibility.
Hall-McMaster S. et al, (2019), J Neurosci, 39, 8549 - 8561
Causal Evidence for Learning-Dependent Frontal Lobe Contributions to Cognitive Control.
Muhle-Karbe PS. et al, (2018), J Neurosci, 38, 962 - 973
Neural Coding for Instruction-Based Task Sets in Human Frontoparietal and Visual Cortex.
Muhle-Karbe PS. et al, (2017), Cereb Cortex, 27, 1891 - 1905
Co-Activation-Based Parcellation of the Lateral Prefrontal Cortex Delineates the Inferior Frontal Junction Area.
Muhle-Karbe PS. et al, (2016), Cereb Cortex, 26, 2225 - 2241