Lyle Muller

Lyle Muller harnesses the power of algorithms and computational models to create meaning out of the flurry of activity happening in the brain cortex.
At the intersection of neuroscience and computer science, Dr. Muller and his team seek to map the neural connections and patterns which govern important cognitive processes such as memory formation.
“Instead of noise or randomness, we’re finding this whole orchestra of coordination that people hadn’t found,” he explained. Dr. Muller and his team use various computational tools and applied mathematics to interpret neural data collected through imaging techniques. His research hopes to map the structure and dynamics of complex neural networks to help solve problems in sensory processing and memory.
Lyle Muller, PhD, is an Assistant Professor of Applied Mathematics. He is also a member of the international collaborative research network NeuroNex, contributing to an ongoing research project on mental representation and working memory. After studying Computational Neuroscience at Brown University, he completed a PhD in Computational and Theoretical Neuroscience with Alain Destexhe at Paris-Saclay University (CNRS Gif-sur-Yvette). He completed postdoctoral research at the Salk Institute for Biological Studies under Terry Sejnowski.
Learn about open positions in The Muller Lab. Visit Lyle Muller on Twitter: @_mullerlab.