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We investigate anatomical organisation and cortical processing using computational models and techniques.

Figure illustrates findings from the computational anatomy and decision making and learning groups
Figure illustrates findings from the computational anatomy and decision making and learning groups

We have two main research interests.The computational anatomy group studies the organisation of anatomical brain connections and how they relate to regional brain function. We principally use non-invasive diffusion MRI, often in combination with functional techniques or traditional tracing techniques. We also have a strong methodological focus. 

The learning and decision making group mostly investigates the role of frontal cortical mechanisms in controlling behaviour.  We use computational descriptions at the behavioural and network levels to form predictions, and test these in neurophysiological, neurochemical, and lesion data.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Recent publications

Human hippocampal ripples align new experiences with a grid-like schema.

Journal article

Xiao Z. et al, (2025), Neuron, 113, 3661 - 3672.e4

Reasoning with programs in replay.

Preprint

Veselic S. et al, (2025)

A cognitive map for value-guided choice in the ventromedial prefrontal cortex.

Journal article

Veselic S. et al, (2025), Cell, 188, 3259 - 3273.e22

Constructing future behavior in the hippocampal formation through composition and replay.

Journal article

Bakermans JJW. et al, (2025), Nat Neurosci, 28, 1061 - 1072

Composing hippocampal maps from cortical building blocks in replay.

Journal article

(2025), Nat Neurosci, 28, 921 - 922

RANGE, NOT INDEPENDENCE, DRIVES MODULARITY IN BIOLOGICALLY INSPIRED REPRESENTATIONS

Conference paper

Dorrell W. et al, (2025), 13th International Conference on Learning Representations Iclr 2025, 24120 - 24156