NOX – Neural Computation & Neurotechnology Lab
Department of Engineering, University of Cambridge
Understanding Neural Computation.
Advancing Neurotechnology.
NOX Lab is an interdisciplinary team united by a common goal: to uncover the computational principles that govern the nervous system and translate these discoveries into technologies that improve human health.
NOX Lab is led by Professor Flavia Mancini in the Department of Engineering at the University of Cambridge, and is part of the Computational and Biological Learning research unit.
The brain is one of the most complex systems in nature. Every thought, sensation and action emerges from the coordinated activity of billions of neurons interacting across multiple spatial and temporal scales. Our research seeks to understand the computational principles underlying these interactions and how they give rise to perception, behaviour, learning and disease.
To address these questions, we combine theoretical, computational and experimental neuroscience with expertise spanning mathematical modelling, artificial intelligence, machine learning, neurophysiology, psychophysics and neuroengineering. By integrating these approaches, we develop computational models that reveal the hidden mechanisms underlying brain function and generate new insights into how the nervous system processes information, adapts to experience and responds to injury or disease.
Our work spans fundamental neuroscience through to clinical translation. We develop methods to analyse neural activity, discover meaningful biomarkers, predict disease trajectories and design intelligent neurotechnologies that support more personalised diagnosis and treatment. Current applications include chronic pain, neuromodulation, brain–computer interfaces, neurorehabilitation and adaptive neurotechnology.
We are grateful for the generous support of the UK Research and Innovation (UKRI), the Medical Research Council (MRC), the Engineering and Physical Sciences Research Council (EPSRC), the Wellcome Trust, and Versus Arthritis, whose funding has supported our research over the years.