MINDS CDT, 2021
Doctoral Researcher, University of Southampton
The brain carries out something remarkable from an engineering perspective. It performs complex computation using very little energy, processing information directly where it is stored rather than shuttling it between separate memory and processing units. Understanding how this works in biological neurons could inform the design of artificial equivalents, AI hardware that is far more efficient than current systems.
From a medical perspective, the same models matter for understanding what goes wrong when brain circuits are disrupted. Xander’s work on neuronal excitability is relevant to conditions including schizophrenia, where the balance of activity is altered in ways that affect memory and cognition.
His outputs to date include a poster presented at the Cambridge Ion Channel Forum on how NMDA receptor subunit composition shapes inhibition and persistent firing in prefrontal cortex models.
After his PhD, Xander plans to continue this work through postdoctoral research. He is due to graduate in 2027.
