Associate Professor of Experimental Psychology
- MRC Career Development Fellow
Computational models of behaviour, thought and brain
In systems neuroscience, research typically categorizes brain structures in terms of their involvement in psychological processes (such as foraging, exploration, and attention) that describe the behaviour of the whole animal.
Yet at the cells- and circuits- level, there is no 'behaviour' per se, and neural processing is instead studied in terms of computations and the representation of information.
Therefore in order to understand the relationship between neural circuits and behaviour, it necessary to re-conceptualize psychological/behavioural constructs in terms of their constituent computations, and localize these computations, rather than behaviours, to specific neural structures and circuits.
The overarching aim of our research is to begin to develop a new taxonomy of cognitive processes in terms of their constituent computations, and to deliver models of computationally-specialized brain systems that are specified at the neural circuits level but at the same time make testable predictions about both behaviour and systems-level brain activity.
At least, that's the ultimate goal! In the mean time, you have to start somewhere...
For more information, please see my lab website
I am also the psychology tutor at LMH
Neuronal Computation Underlying Inferential Reasoning in Humans and Mice.
Barron HC. et al, (2020), Cell, 183, 228 - 243.e21
Nine-month-old infants update their predictive models of a changing environment.
Kayhan E. et al, (2019), Dev Cogn Neurosci, 38
Infants differentially update their internal models of a dynamic environment.
Kayhan E. et al, (2019), Cognition, 186, 139 - 146
A Network for Computing Value Equilibrium in the Human Medial Prefrontal Cortex.
Juechems K. et al, (2019), Neuron, 101, 977 - 987.e3
Control of entropy in neural models of environmental state.
Muller TH. et al, (2019), Elife, 8