Neural Computation
Developing computational theories and analytical methods to understand nervous-system function across cells, circuits, systems and behaviour.
Explore theme →NOX Lab
Neural computation & neurotechnology
We develop computational theories, analytical methods and neurotechnologies to understand how nervous systems sense, learn, adapt and regulate behaviour.
Led by Professor Flavia Mancini, NOX Lab is part of Computational and Biological Learning (CBL), Department of Engineering, University of Cambridge.
Research
Our scientific programme
Theory, technology and systems neuroscience across biological scales.
Neurotechnology
Developing model-informed, adaptive neurotechnologies for measuring, interpreting and influencing nervous-system function.
Explore theme →Sensorimotor & Defensive Systems
Understanding sensory processing, sensorimotor control, pain, homeostatic regulation and adaptive behaviour across biological scales.
Explore theme →Recent research
Latest publications
Recent work from across the lab.
- 2026
A theory of how pretraining shapes inductive bias in fine-tuning
N. Anguita, F. Locatello, A. M. Saxe, M. Mondelli, Flavia Mancini, S. Lippl, C. Domine
International Conference on Machine Learning
- 2026
Exploring neural correlates of emotional and social listening with high-density diffuse optical tomography in the auditory cortex
S. Srinivasan, E. Butters, D. Acharya, et al.
Scientific Reports
- 2026
Moment-to-Moment Pain Variability Predicts Pain Chronification
Gaia Pantaleo, Carl Ashworth, Maeghal Jain, Flavia Mancini
bioRxiv