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Dr Nicholas Lesica
Main Office
UCL Ear Institute
332 Gray's Inn Rd
  • Senior Lecturer
  • The Ear Institute
  • Faculty of Brain Sciences

During my studies in electrical engineering, I learned how to analyze the processing of signals and the flow of information in complex systems. When I began to take an interest in neuroscience, I found the signal and information processing framework to be a very natural one in which to study the function of sensory systems. In the years since, I have trained in the experimental methods required to study sensory systems, in particular, the mammalian auditory system. My hope is that combining analytical and experimental approaches will facilitate the discovery of the basic principles that underlie the representation of sensory information in the brain.

Research Groups
Research Themes
Research Summary

The brain is flooded with information about the outside world from its sensory receptors, and one of the fundamental goals of neuroscience is to understand exactly how this information is filtered and represented in the activity of sensory systems. Cracking this ‘neural code’ is essential for understanding how the brain makes decisions and governs behavior, as well as for developing clinical strategies to replace brain function lost to trauma or disease.

The classical approach to investigating the neural code is to measure the activity of one neuron at a time. In my research group, we take advantage of recent advances in technology to study the activity of many neurons at the same time. With the data collected in these experiments, and methods that we and others have developed to analyze it, we can hopefully progress beyond our understanding of the brain as a collection of individual neurons toward an understanding of the brain as a complex network of interconnected populations.

For more detailed information about our research, please visit our lab homepage:


Teaching Summary
Lecturer on PHOL3006 Cellular Basis of Brain Function
  Wellcome Trust Fellow    , United Kingdom
Academic Background
2005 PhD Doctor of Philosophy – Engineering Science Harvard University
2000 BS Bachelor of Science – Computer Science Massachusetts Institute of Technology
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