Sensyt: Sensory Systems, Technologies and Therapies


Dr Nicholas Lesica

Dr Nicholas Lesica


Main Office
UCL Ear Institute
332 Gray's Inn Rd


  • Senior Lecturer
    The Ear Institute
    Faculty of Brain Sciences

Joined UCL


My research is focused on understanding how the brain represents and processes information about the outside world. My primary interest is hearing and, in particular, understanding how single neurons and small neural networks contribute to auditory function and dysfunction.

Some of my research questions include:

What are the neural mechanisms that enable the brain to separate multiple sound sources and solve the so-called ‘cocktail party problem’?

How are these mechanisms impaired by peripheral and central damage due to aging and noise exposure?

How can we better correct or compensate for these impairments to restore normal perception?

My research group uses a combination of in vivo electrophysiology and computational modelling to address these questions. We perform studies in rodents to gain a detailed understanding of the processing that takes place throughout the central auditory pathway from the brainstem to the cortex. We are based in the Ear Institute at University College London, where we collaborate with a number of partners in basic and clinical auditory science and neuroscience. 

I have also recently begun work related to the science of healthy eating. I do not do primary research in this field, but I have written an open-access book that describes the scientific basis of a healthy diet for a general audience. The book synthesizes results from recent studies in nutrition and metabolism, as well as neuroscience, immunology and microbiology. To complement the book, I have developed an active program of public engagement related to the science of healthy eating.

Award year Qualification Institution
2005 PhD
Doctor of Philosophy
Engineering Science
Harvard University
2000 BS
Bachelor of Science
Computer Science
Massachusetts Institute of Technology

I began my research career as a PhD student with Garrett Stanley at Harvard University, where I studied how visual information is encoded in the spiking activity of neurons in the thalamus. I investigated the role of the thalamic ‘burst-mode’ and adaptation to stimulus contrast and correlations during the processing of natural visual scenes. In parallel with these experimental studies, I also developed several computational approaches for the analysis of neural activity patterns to assess the role of adaptive filtering. This work shaped my perspective on a number of issues that remain central to my research, such as the importance of studying sensory processing under natural conditions, the power of combining experimental and modeling approaches across multiple levels of detail, and the importance (and pleasure) of pursuing ambitious agendas through multi-lab collaborative efforts.

After finishing my PhD, I received a short fellowship to study the encoding of visual information in the retina under Toshihiko Hosoya at the RIKEN Brain Science Institute, and then worked for several years as a postdoctoral researcher in the Bernstein Center for Computational Neuroscience at the Ludwig-Maximilians-University Munich with Benedikt Grothe. During this time, I completed several studies of the auditory midbrain focusing on the encoding of sound intensity and location. My experience in Munich was critical as it provided my foundational training in auditory neuroscience and expanded my perspective on sensory processing to include consideration of broader ecological context. It was also during this time that I began to develop the techniques for recording activity from networks of neurons that still form the basis of my experimental research today.

I started my own research group in Munich with support from the Emmy Noether Programme of the German Research Foundation in 2009, and moved to UCL as a Wellcome Trust Research Career Development Fellow in 2010. I became a Wellcome Trust Senior Research Fellow in 2016 and Professor of Neuroengineering in 2018.