Paul Munro

  • Associate Professor

Prof. Munro's main interest is in learning from a neural network perspective. The question of how cognitive processes emerge from biological mechanisms is the major philosophical question that drives his research. He is also interested in the mathematical foundations of neural network processing. Finally, he is working on applications of neural networks to problems in analyzing large data sets.

Institution of Highest Degree

  • Brown University, Ph.D.

Representative Publications

X. Bao, Z-H. Mao, P. Munro, Z. Sun, N. Sharma (2019) Sub-optimally solving actuator redundancy in a hybrid neuroprosthetic system with a multi-layer neural network structure, International Journal of Intelligent Robotics and Applications, 3(2)

Z. Gong and P, Munro (2020) Modeling the evolution of retina neural network, arXiv preprint arXiv:2011.12448

Research Interests

Visualization of neural network dynamics