Angus Chadwick

Angus Chadwick is a Lecturer in Computational Neuroscience and Artificial Intelligence at the Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh. He leads a research group focused on understanding neural circuit computations underlying perception and cognition, combining mathematical modeling, machine learning, and analysis of large-scale neural recordings.

His research interests include:

• Neural dynamics in learning and attention
• Representation of space in hippocampus and entorhinal cortex
• Visuo-spatial processing in the brain
• Development of normative and mechanistic models of neural computation

His recent publications demonstrate a strong focus on understanding how cortical and hippocampal circuits adapt during learning and attention, using dynamical systems theory and multivariate statistical modeling. His work bridges experimental neuroscience with artificial intelligence, particularly in modeling neural representations and their transformations during cognitive tasks.

Scientific contributions and recognition:

• Published in top journals including Neuron, Nature Neuroscience, and eLife
• Co-senior author on high-impact studies in hippocampal coding
• Equal contribution author on seminal work in cortical interneuron dynamics

He actively supervises PhD and Masters students and supports postdoctoral grant applications. His group is involved in international collaborations and develops open-source code. He teaches courses in computational and cognitive neuroscience and organizes training programs for graduate students in neuroinformatics.